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Block cipher
Block cipher
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In cryptography, a block cipher is a deterministic algorithm that operates on fixed-length groups of bits, called blocks. Block ciphers are the elementary building blocks of many cryptographic protocols. They are ubiquitous in the storage and exchange of data, where such data is secured and authenticated via encryption.

A block cipher uses blocks as an unvarying transformation. Even a secure block cipher is suitable for the encryption of only a single block of data at a time, using a fixed key. A multitude of modes of operation have been designed to allow their repeated use in a secure way to achieve the security goals of confidentiality and authenticity. However, block ciphers may also feature as building blocks in other cryptographic protocols, such as universal hash functions and pseudorandom number generators.

Definition

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Block diagram of cipher block showing its inputs, outputs and components.

A block cipher consists of two paired algorithms, one for encryption, E, and the other for decryption, D.[1] Both algorithms accept two inputs: an input block of size n bits and a key of size k bits; and both yield an n-bit output block. The decryption algorithm D is defined to be the inverse function of encryption, i.e., D = E−1. More formally,[2][3] a block cipher is specified by an encryption function

which takes as input a key K, of bit length k (called the key size), and a bit string P, of length n (called the block size), and returns a string C of n bits. P is called the plaintext, and C is termed the ciphertext. For each K, the function EK(P) is required to be an invertible mapping on {0,1}n. The inverse for E is defined as a function

taking a key K and a ciphertext C to return a plaintext value P, such that

For example, a block cipher encryption algorithm might take a 128-bit block of plaintext as input, and output a corresponding 128-bit block of ciphertext. The exact transformation is controlled using a second input – the secret key. Decryption is similar: the decryption algorithm takes, in this example, a 128-bit block of ciphertext together with the secret key, and yields the original 128-bit block of plain text.[4]

For each key K, EK is a permutation (a bijective mapping) over the set of input blocks. Each key selects one permutation from the set of possible permutations.[5]

History

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The modern design of block ciphers is based on the concept of an iterated product cipher. In his seminal 1949 publication, Communication Theory of Secrecy Systems, Claude Shannon analyzed product ciphers and suggested them as a means of effectively improving security by combining simple operations such as substitutions and permutations.[6] Iterated product ciphers carry out encryption in multiple rounds, each of which uses a different subkey derived from the original key. One widespread implementation of such ciphers named a Feistel network after Horst Feistel is notably implemented in the DES cipher.[7] Many other realizations of block ciphers, such as the AES, are classified as substitution–permutation networks.[8]

The root of all cryptographic block formats used within the Payment Card Industry Data Security Standard (PCI DSS) and American National Standards Institute (ANSI) standards lies with the Atalla Key Block (AKB), which was a key innovation of the Atalla Box, the first hardware security module (HSM). It was developed in 1972 by Mohamed M. Atalla, founder of Atalla Corporation (now Utimaco Atalla), and released in 1973. The AKB was a key block, which is required to securely interchange symmetric keys or PINs with other actors in the banking industry. This secure interchange is performed using the AKB format.[9] The Atalla Box protected over 90% of all ATM networks in operation as of 1998,[10] and Atalla products still secure the majority of the world's ATM transactions as of 2014.[11]

The publication of the DES cipher by the United States National Bureau of Standards (subsequently the U.S. National Institute of Standards and Technology, NIST) in 1977 was fundamental in the public understanding of modern block cipher design. It also influenced the academic development of cryptanalytic attacks. Both differential and linear cryptanalysis arose out of studies on DES design. As of 2016, there is a palette of attack techniques against which a block cipher must be secure, in addition to being robust against brute-force attacks.

Design

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Iterated block ciphers

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Most block cipher algorithms are classified as iterated block ciphers which means that they transform fixed-size blocks of plaintext into identically sized blocks of ciphertext, via the repeated application of an invertible transformation known as the round function, with each iteration referred to as a round.[12]

Usually, the round function R takes different round keys Ki as a second input, which is derived from the original key:[13]

where is the plaintext and the ciphertext, with r being the number of rounds.

Frequently, key whitening is used in addition to this. At the beginning and the end, the data is modified with key material (often with XOR):

Given one of the standard iterated block cipher design schemes, it is fairly easy to construct a block cipher that is cryptographically secure, simply by using a large number of rounds. However, this will make the cipher inefficient. Thus, efficiency is the most important additional design criterion for professional ciphers. Further, a good block cipher is designed to avoid side-channel attacks, such as branch prediction and input-dependent memory accesses that might leak secret data via the cache state or the execution time. In addition, the cipher should be concise, for small hardware and software implementations.

Substitution–permutation networks

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A sketch of a substitution–permutation network with 3 rounds, encrypting a plaintext block of 16 bits into a ciphertext block of 16 bits. The S-boxes are the Si, the P-boxes are the same P, and the round keys are the Ki.

One important type of iterated block cipher known as a substitution–permutation network (SPN) takes a block of the plaintext and the key as inputs and applies several alternating rounds consisting of a substitution stage followed by a permutation stage—to produce each block of ciphertext output.[14] The non-linear substitution stage mixes the key bits with those of the plaintext, creating Shannon's confusion. The linear permutation stage then dissipates redundancies, creating diffusion.[15][16]

A substitution box (S-box) substitutes a small block of input bits with another block of output bits. This substitution must be one-to-one, to ensure invertibility (hence decryption). A secure S-box will have the property that changing one input bit will change about half of the output bits on average, exhibiting what is known as the avalanche effect—i.e. it has the property that each output bit will depend on every input bit.[17]

A permutation box (P-box) is a permutation of all the bits: it takes the outputs of all the S-boxes of one round, permutes the bits, and feeds them into the S-boxes of the next round. A good P-box has the property that the output bits of any S-box are distributed to as many S-box inputs as possible.[18]

At each round, the round key (obtained from the key with some simple operations, for instance, using S-boxes and P-boxes) is combined using some group operation, typically XOR.[citation needed]

Decryption is done by simply reversing the process (using the inverses of the S-boxes and P-boxes and applying the round keys in reversed order).[19]

Feistel ciphers

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Many block ciphers, such as DES and Blowfish utilize structures known as Feistel ciphers

In a Feistel cipher, the block of plain text to be encrypted is split into two equal-sized halves. The round function is applied to one half, using a subkey, and then the output is XORed with the other half. The two halves are then swapped.[20]

Let be the round function and let be the sub-keys for the rounds respectively.

Then the basic operation is as follows:[20]

Split the plaintext block into two equal pieces, (, )

For each round , compute

.

Then the ciphertext is .

The decryption of a ciphertext is accomplished by computing for

.

Then is the plaintext again.

One advantage of the Feistel model compared to a substitution–permutation network is that the round function does not have to be invertible.[21]

Lai–Massey ciphers

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The Lai–Massey scheme. The archetypical cipher utilizing it is IDEA.

The Lai–Massey scheme offers security properties similar to those of the Feistel structure. It also shares the advantage that the round function does not have to be invertible. Another similarity is that it also splits the input block into two equal pieces. However, the round function is applied to the difference between the two, and the result is then added to both half blocks.

Let be the round function and a half-round function and let be the sub-keys for the rounds respectively.

Then the basic operation is as follows:

Split the plaintext block into two equal pieces, (, )

For each round , compute

where and

Then the ciphertext is .

The decryption of a ciphertext is accomplished by computing for

where and

Then is the plaintext again.

Operations

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ARX (add–rotate–XOR)

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Many modern block ciphers and hashes are ARX algorithms—their round function involves only three operations: (A) modular addition, (R) rotation with fixed rotation amounts, and (X) XOR. Examples include ChaCha20, Speck, XXTEA, and BLAKE. Many authors draw an ARX network, a kind of data flow diagram, to illustrate such a round function.[22]

These ARX operations are popular because they are relatively fast and cheap in hardware and software, their implementation can be made extremely simple, and also because they run in constant time, and therefore are immune to timing attacks. The rotational cryptanalysis technique attempts to attack such round functions.

Other operations

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Other operations often used in block ciphers include data-dependent rotations as in RC5 and RC6, a substitution box implemented as a lookup table as in Data Encryption Standard and Advanced Encryption Standard, a permutation box, and multiplication as in IDEA.

Modes of operation

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Insecure encryption of an image (depicting Tux) as a result of electronic codebook (ECB) mode encoding

A block cipher by itself allows encryption only of a single data block of the cipher's block length. For a variable-length message, the data must first be partitioned into separate cipher blocks. In the simplest case, known as electronic codebook (ECB) mode, a message is first split into separate blocks of the cipher's block size (possibly extending the last block with padding bits), and then each block is encrypted and decrypted independently. However, such a naive method is generally insecure because equal plaintext blocks will always generate equal ciphertext blocks (for the same key), so patterns in the plaintext message become evident in the ciphertext output.[23]

To overcome this limitation, several so-called block cipher modes of operation have been designed[24][25] and specified in national recommendations such as NIST 800-38A[26] and BSI TR-02102[27] and international standards such as ISO/IEC 10116.[28] The general concept is to use randomization of the plaintext data based on an additional input value, frequently called an initialization vector, to create what is termed probabilistic encryption.[29] In the popular cipher block chaining (CBC) mode, for encryption to be secure the initialization vector passed along with the plaintext message must be a random or pseudo-random value, which is added in an exclusive-or manner to the first plaintext block before it is encrypted. The resultant ciphertext block is then used as the new initialization vector for the next plaintext block. In the cipher feedback (CFB) mode, which emulates a self-synchronizing stream cipher, the initialization vector is first encrypted and then added to the plaintext block. The output feedback (OFB) mode repeatedly encrypts the initialization vector to create a key stream for the emulation of a synchronous stream cipher. The newer counter (CTR) mode similarly creates a key stream, but has the advantage of only needing unique and not (pseudo-)random values as initialization vectors; the needed randomness is derived internally by using the initialization vector as a block counter and encrypting this counter for each block.[26]

From a security-theoretic point of view, modes of operation must provide what is known as semantic security.[30] Informally, it means that given some ciphertext under an unknown key one cannot practically derive any information from the ciphertext (other than the length of the message) over what one would have known without seeing the ciphertext. It has been shown that all of the modes discussed above, with the exception of the ECB mode, provide this property under so-called chosen plaintext attacks.

Padding

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Some modes such as the CBC mode only operate on complete plaintext blocks. Simply extending the last block of a message with zero bits is insufficient since it does not allow a receiver to easily distinguish messages that differ only in the number of padding bits. More importantly, such a simple solution gives rise to very efficient padding oracle attacks.[31] A suitable padding scheme is therefore needed to extend the last plaintext block to the cipher's block size. While many popular schemes described in standards and in the literature have been shown to be vulnerable to padding oracle attacks,[31][32] a solution that adds a one-bit and then extends the last block with zero-bits, standardized as "padding method 2" in ISO/IEC 9797-1,[33] has been proven secure against these attacks.[32]

Cryptanalysis

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Cryptanalysis is the technique in which ciphers are decrypted without knowledge of the used key. Different attacks can be employed based on the information available to the cryptanalyst, these Attack models are:

  • Ciphertext-only: the cryptanalyst has access only to a collection of ciphertexts or codetexts.
  • Known-plaintext: the attacker has a set of ciphertexts to which they know the corresponding plaintext.
  • Chosen-plaintext (chosen-ciphertext): the attacker can obtain the ciphertexts (plaintexts) corresponding to an arbitrary set of plaintexts (ciphertexts) of their own choosing.
  • Adaptive chosen-plaintext: like a chosen-plaintext attack, except the attacker can choose subsequent plaintexts based on information learned from previous encryptions, similarly to the Adaptive chosen ciphertext attack.
  • Related-key attack: Like a chosen-plaintext attack, except the attacker can obtain ciphertexts encrypted under two different keys. The keys are unknown, but the relationship between them is known; for example, two keys that differ in the one bit.

Brute-force attacks

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This property results in the cipher's security degrading quadratically, and needs to be taken into account when selecting a block size. There is a trade-off though as large block sizes can result in the algorithm becoming inefficient to operate.[34] Earlier block ciphers such as the DES have typically selected a 64-bit block size, while newer designs such as the AES support block sizes of 128 bits or more, with some ciphers supporting a range of different block sizes.[35]

Differential cryptanalysis

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Linear cryptanalysis

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A linear cryptanalysis is a form of cryptanalysis based on finding affine approximations to the action of a cipher. Linear cryptanalysis is one of the two most widely used attacks on block ciphers; the other being differential cryptanalysis.[36]

The discovery is attributed to Mitsuru Matsui, who first applied the technique to the FEAL cipher (Matsui and Yamagishi, 1992).[37]

Integral cryptanalysis

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Integral cryptanalysis is a cryptanalytic attack that is particularly applicable to block ciphers based on substitution–permutation networks. Unlike differential cryptanalysis, which uses pairs of chosen plaintexts with a fixed XOR difference, integral cryptanalysis uses sets or even multisets of chosen plaintexts of which part is held constant and another part varies through all possibilities. For example, an attack might use 256 chosen plaintexts that have all but 8 of their bits the same, but all differ in those 8 bits. Such a set necessarily has an XOR sum of 0, and the XOR sums of the corresponding sets of ciphertexts provide information about the cipher's operation. This contrast between the differences between pairs of texts and the sums of larger sets of texts inspired the name "integral cryptanalysis", borrowing the terminology of calculus.[citation needed]

Other techniques

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The development of the boomerang attack enabled differential cryptanalysis techniques to be applied to many ciphers that had previously been deemed secure against differential attacks

In addition to linear and differential cryptanalysis, there is a growing catalog of attacks: truncated differential cryptanalysis, partial differential cryptanalysis, integral cryptanalysis, which encompasses square and integral attacks, slide attacks, boomerang attacks, the XSL attack, impossible differential cryptanalysis, and algebraic attacks. For a new block cipher design to have any credibility, it must demonstrate evidence of security against known attacks.[38]

Provable security

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When a block cipher is used in a given mode of operation, the resulting algorithm should ideally be about as secure as the block cipher itself. ECB (discussed above) emphatically lacks this property: regardless of how secure the underlying block cipher is, ECB mode can easily be attacked. On the other hand, CBC mode can be proven to be secure under the assumption that the underlying block cipher is likewise secure. Note, however, that making statements like this requires formal mathematical definitions for what it means for an encryption algorithm or a block cipher to "be secure". This section describes two common notions for what properties a block cipher should have. Each corresponds to a mathematical model that can be used to prove properties of higher-level algorithms, such as CBC.

This general approach to cryptography – proving higher-level algorithms (such as CBC) are secure under explicitly stated assumptions regarding their components (such as a block cipher) – is known as provable security.

Standard model

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Informally, a block cipher is secure in the standard model if an attacker cannot tell the difference between the block cipher (equipped with a random key) and a random permutation.

To be a bit more precise, let E be an n-bit block cipher. We imagine the following game:

  1. The person running the game flips a coin.
    • If the coin lands on heads, he chooses a random key K and defines the function f = EK.
    • If the coin lands on tails, he chooses a random permutation π on the set of n-bit strings and defines the function f = π.
  2. The attacker chooses an n-bit string X, and the person running the game tells him the value of f(X).
  3. Step 2 is repeated a total of q times. (Each of these q interactions is a query.)
  4. The attacker guesses how the coin landed. He wins if his guess is correct.

The attacker, which we can model as an algorithm, is called an adversary. The function f (which the adversary was able to query) is called an oracle.

Note that an adversary can trivially ensure a 50% chance of winning simply by guessing at random (or even by, for example, always guessing "heads"). Therefore, let PE(A) denote the probability that adversary A wins this game against E, and define the advantage of A as 2(PE(A) − 1/2). It follows that if A guesses randomly, its advantage will be 0; on the other hand, if A always wins, then its advantage is 1. The block cipher E is a pseudo-random permutation (PRP) if no adversary has an advantage significantly greater than 0, given specified restrictions on q and the adversary's running time. If in Step 2 above adversaries have the option of learning f−1(X) instead of f(X) (but still have only small advantages) then E is a strong PRP (SPRP). An adversary is non-adaptive if it chooses all q values for X before the game begins (that is, it does not use any information gleaned from previous queries to choose each X as it goes).

These definitions have proven useful for analyzing various modes of operation. For example, one can define a similar game for measuring the security of a block cipher-based encryption algorithm, and then try to show (through a reduction argument) that the probability of an adversary winning this new game is not much more than PE(A) for some A. (The reduction typically provides limits on q and the running time of A.) Equivalently, if PE(A) is small for all relevant A, then no attacker has a significant probability of winning the new game. This formalizes the idea that the higher-level algorithm inherits the block cipher's security.

Ideal cipher model

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Practical evaluation

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Block ciphers may be evaluated according to multiple criteria in practice. Common factors include:[39][40]

  • Key parameters, such as its key size and block size, both of which provide an upper bound on the security of the cipher.
  • The estimated security level, which is based on the confidence gained in the block cipher design after it has largely withstood major efforts in cryptanalysis over time, the design's mathematical soundness, and the existence of practical or certificational[41] attacks.
  • The cipher's complexity and its suitability for implementation in hardware or software. Hardware implementations may measure the complexity in terms of gate count or energy consumption, which are important parameters for resource-constrained devices.
  • The cipher's performance in terms of processing throughput on various platforms, including its memory requirements.
  • The cost of the cipher refers to licensing requirements that may apply due to intellectual property rights.
  • The flexibility of the cipher includes its ability to support multiple key sizes and block lengths.

Notable block ciphers

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Lucifer / DES

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Lucifer is generally considered to be the first civilian block cipher, developed at IBM in the 1970s based on work done by Horst Feistel. A revised version of the algorithm was adopted as a U.S. government Federal Information Processing Standard: FIPS PUB 46 Data Encryption Standard (DES).[42] It was chosen by the U.S. National Bureau of Standards (NBS) after a public invitation for submissions and some internal changes by NBS (and, potentially, the NSA). DES was publicly released in 1976 and has been widely used.[citation needed]

DES was designed to, among other things, resist a certain cryptanalytic attack known to the NSA and rediscovered by IBM, though unknown publicly until rediscovered again and published by Eli Biham and Adi Shamir in the late 1980s. The technique is called differential cryptanalysis and remains one of the few general attacks against block ciphers; linear cryptanalysis is another but may have been unknown even to the NSA, prior to its publication by Mitsuru Matsui. DES prompted a large amount of other work and publications in cryptography and cryptanalysis in the open community and it inspired many new cipher designs.[citation needed]

DES has a block size of 64 bits and a key size of 56 bits. 64-bit blocks became common in block cipher designs after DES. Key length depended on several factors, including government regulation. Many observers[who?] in the 1970s commented that the 56-bit key length used for DES was too short. As time went on, its inadequacy became apparent, especially after a special-purpose machine designed to break DES was demonstrated in 1998 by the Electronic Frontier Foundation. An extension to DES, Triple DES, triple-encrypts each block with either two independent keys (112-bit key and 80-bit security) or three independent keys (168-bit key and 112-bit security). It was widely adopted as a replacement. As of 2011, the three-key version is still considered secure, though the National Institute of Standards and Technology (NIST) standards no longer permit the use of the two-key version in new applications, due to its 80-bit security level.[43]

IDEA

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The International Data Encryption Algorithm (IDEA) is a block cipher designed by James Massey of ETH Zurich and Xuejia Lai; it was first described in 1991, as an intended replacement for DES.

IDEA operates on 64-bit blocks using a 128-bit key and consists of a series of eight identical transformations (a round) and an output transformation (the half-round). The processes for encryption and decryption are similar. IDEA derives much of its security by interleaving operations from different groupsmodular addition and multiplication, and bitwise exclusive or (XOR) – which are algebraically "incompatible" in some sense.

The designers analysed IDEA to measure its strength against differential cryptanalysis and concluded that it is immune under certain assumptions. No successful linear or algebraic weaknesses have been reported. As of 2012, the best attack which applies to all keys can break a full 8.5-round IDEA using a narrow-bicliques attack about four times faster than brute force.

RC5

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One round (two half-rounds) of the RC5 block cipher

RC5 is a block cipher designed by Ronald Rivest in 1994 which, unlike many other ciphers, has a variable block size (32, 64, or 128 bits), key size (0 to 2040 bits), and a number of rounds (0 to 255). The original suggested choice of parameters was a block size of 64 bits, a 128-bit key, and 12 rounds.

A key feature of RC5 is the use of data-dependent rotations; one of the goals of RC5 was to prompt the study and evaluation of such operations as a cryptographic primitive. RC5 also consists of a number of modular additions and XORs. The general structure of the algorithm is a Feistel-like a network. The encryption and decryption routines can be specified in a few lines of code. The key schedule, however, is more complex, expanding the key using an essentially one-way function with the binary expansions of both e and the golden ratio as sources of "nothing up my sleeve numbers". The tantalizing simplicity of the algorithm together with the novelty of the data-dependent rotations has made RC5 an attractive object of study for cryptanalysts.

12-round RC5 (with 64-bit blocks) is susceptible to a differential attack using 244 chosen plaintexts.[44] 18–20 rounds are suggested as sufficient protection.

Rijndael / AES

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The Rijndael cipher developed by Belgian cryptographers, Joan Daemen and Vincent Rijmen was one of the competing designs to replace DES. It won the 5-year public competition to become the AES (Advanced Encryption Standard).

Adopted by NIST in 2001, AES has a fixed block size of 128 bits and a key size of 128, 192, or 256 bits, whereas Rijndael can be specified with block and key sizes in any multiple of 32 bits, with a minimum of 128 bits. The block size has a maximum of 256 bits, but the key size has no theoretical maximum. AES operates on a 4×4 column-major order matrix of bytes, termed the state (versions of Rijndael with a larger block size have additional columns in the state).

Blowfish

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Blowfish is a block cipher, designed in 1993 by Bruce Schneier and included in a large number of cipher suites and encryption products. Blowfish has a 64-bit block size and a variable key length from 1 bit up to 448 bits.[45] It is a 16-round Feistel cipher and uses large key-dependent S-boxes. Notable features of the design include the key-dependent S-boxes and a highly complex key schedule.

It was designed as a general-purpose algorithm, intended as an alternative to the aging DES and free of the problems and constraints associated with other algorithms. At the time Blowfish was released, many other designs were proprietary, encumbered by patents, or were commercial/government secrets. Schneier has stated that "Blowfish is unpatented, and will remain so in all countries. The algorithm is hereby placed in the public domain, and can be freely used by anyone." The same applies to Twofish, a successor algorithm from Schneier.

Generalizations

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Tweakable block ciphers

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M. Liskov, R. Rivest, and D. Wagner have described a generalized version of block ciphers called "tweakable" block ciphers.[46] A tweakable block cipher accepts a second input called the tweak along with its usual plaintext or ciphertext input. The tweak, along with the key, selects the permutation computed by the cipher. If changing tweaks is sufficiently lightweight (compared with a usually fairly expensive key setup operation), then some interesting new operation modes become possible. The disk encryption theory article describes some of these modes.

Format-preserving encryption

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Block ciphers traditionally work over a binary alphabet. That is, both the input and the output are binary strings, consisting of n zeroes and ones. In some situations, however, one may wish to have a block cipher that works over some other alphabet; for example, encrypting 16-digit credit card numbers in such a way that the ciphertext is also a 16-digit number might facilitate adding an encryption layer to legacy software. This is an example of format-preserving encryption. More generally, format-preserving encryption requires a keyed permutation on some finite language. This makes format-preserving encryption schemes a natural generalization of (tweakable) block ciphers. In contrast, traditional encryption schemes, such as CBC, are not permutations because the same plaintext can encrypt multiple different ciphertexts, even when using a fixed key.

Relation to other cryptographic primitives

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Block ciphers can be used to build other cryptographic primitives, such as those below. For these other primitives to be cryptographically secure, care has to be taken to build them the right way.

Just as block ciphers can be used to build hash functions, like SHA-1 and SHA-2 are based on block ciphers which are also used independently as SHACAL, hash functions can be used to build block ciphers. Examples of such block ciphers are BEAR and LION.

See also

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References

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Further reading

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[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
A block cipher is a symmetric-key cryptographic algorithm that transforms a fixed-size block of plaintext into ciphertext of the same size using a secret key, providing confidentiality through pseudorandom permutation of the input data. Block ciphers process data in discrete blocks, typically 64 or 128 bits in length, and are designed to be invertible, allowing decryption with the same key to recover the original plaintext. The development of block ciphers marked a significant advancement in symmetric , with the Data Encryption Standard (DES) serving as the first widely standardized example, published by the National Bureau of Standards (now NIST) as Federal Information Processing Standard (FIPS) 46 on January 15, 1977. DES operates on 64-bit blocks using a 56-bit key through 16 rounds of Feistel network transformations, but its relatively short key length made it vulnerable to brute-force attacks as computational power grew, leading to its deprecation for most new applications by 2005. In response, NIST initiated the (AES) development process in 1997, culminating in the selection of the Rijndael and its publication as FIPS 197 in 2001, which supports 128-bit blocks and key sizes of 128, 192, or 256 bits across 10, 12, or 14 rounds. AES has become the de facto global standard for block cipher encryption, underpinning secure communications in protocols like TLS and due to its efficiency and resistance to known cryptanalytic attacks. To handle messages longer than a single block, block ciphers are employed within modes of operation, which define rules for chaining or combining encryptions to achieve security properties like and malleability resistance. Common modes include Electronic Codebook (ECB), which encrypts each block independently but reveals patterns in repetitive data; Cipher Block Chaining (CBC), which XORs each plaintext block with the previous to add ; and Counter (CTR) mode, which turns the block cipher into a for parallelizable, high-speed without error propagation. These modes, standardized by NIST in SP 800-38A and subsequent documents, enable block ciphers to secure arbitrary-length data while mitigating risks such as chosen-plaintext attacks. Overall, block ciphers form the backbone of modern data protection, balancing security, performance, and implementation simplicity in diverse environments from embedded devices to cloud infrastructure.

Fundamentals

Definition and Properties

A block cipher is a symmetric-key algorithm that encrypts fixed-size blocks of plaintext into ciphertext blocks of the same size, using a secret key for both encryption and decryption. Fundamental properties of block ciphers include bijectivity, where the encryption function for each fixed key induces a permutation on the set of all possible plaintext blocks, ensuring a one-to-one correspondence; invertibility, such that decryption precisely reverses the encryption process when the same key is applied; and determinism, meaning identical plaintext and key inputs always yield identical ciphertext outputs. Mathematically, encryption is modeled as a function Ek:{0,1}n{0,1}nE_k: \{0,1\}^n \to \{0,1\}^n, where nn denotes the block length in bits and kk is the key, with decryption given by the inverse Dk=Ek1D_k = E_k^{-1} such that Dk(Ek(m))=mD_k(E_k(m)) = m for any block mm. In contrast to ciphers, which generate a keystream to encrypt data bit-by-bit or byte-by-byte, block ciphers process entire fixed-length blocks simultaneously. Block ciphers are commonly used in conjunction with modes of operation to handle messages exceeding the block size while providing security services like .

Block and Key Parameters

Block ciphers process fixed-length blocks of , with typical block sizes of 64 bits or 128 bits. The block size, denoted as nn bits, fundamentally affects the cipher's security and ; smaller values like 64 bits were common in early designs but offer limited protection against statistical analyses due to the reduced , while 128-bit blocks provide stronger safeguards by expanding the state space and complicating in . Larger block sizes demand enhanced mechanisms to ensure that changes in a single input bit propagate across the entire block, increasing design complexity but improving overall resilience. A key trade-off with block size involves padding overhead in modes of operation that require input to be a multiple of the block length, such as CBC or ECB. For messages shorter than a full block or not aligning perfectly, adds extraneous data, and larger blocks minimize this relative expansion—for instance, a 1-byte message incurs up to 15 bytes of padding with a 128-bit block versus 7 bytes with a 64-bit block—thus enhancing efficiency for variable-length data without compromising . However, this benefit comes at the cost of higher per-block processing demands, particularly in resource-constrained environments. Key sizes in block ciphers commonly range from 128 to 256 bits, directly dictating resistance to exhaustive search attacks, where the adversary tests all possible keys. The brute-force complexity is O(2k)O(2^k) operations, with kk representing the key length in bits, making longer keys exponentially harder to crack—e.g., 256 bits yields a search space vastly larger than 128 bits. Most designs fix the block size for simplicity and but permit variable key lengths to balance needs against , allowing users to select higher kk for greater protection at the expense of increased and computation time. In provable frameworks, larger key sizes strengthen the ideal cipher model assumptions, such as .

Historical Development

Early Concepts and Lucifer

The theoretical foundations of block ciphers trace back to Claude Shannon's seminal 1949 paper, "Communication Theory of Secrecy Systems," where he introduced the principles of as core requirements for secure cryptographic systems. Confusion refers to making the relationship between the key and the as complex as possible to thwart statistical analysis, while diffusion ensures that changes in a single bit of the or key propagate to affect many bits in the , thereby resisting differential attacks. These concepts provided the blueprint for product ciphers, which combine substitution (for ) and (for ) operations in iterated rounds, influencing all subsequent block cipher designs. Building on Shannon's ideas, cryptographer Horst Feistel and his team developed in the early 1970s as one of the earliest practical block ciphers, marking a shift from theoretical to implementable systems for data protection in environments. encompassed several variants to address different implementation needs. An early 1971 version described by Feistel used 48-bit blocks and a 48-bit key with a substitution-permutation network structure. A later variant from 1973 featured 128-bit blocks and a 128-bit key, employing a balanced Feistel network with 16 rounds to achieve through repeated substitution and permutation steps. Another early variant featured 48-bit blocks with a 128-bit key, balancing and efficiency. These adaptations highlighted the flexibility of the evolving designs in , which allowed decryption by reversing the round keys in Feistel-based versions. served as a direct prototype for the (DES), demonstrating the feasibility of symmetric block encryption for civilian use, such as in early electronic banking systems. A key milestone occurred in May 1973 when the National Bureau of Standards (NBS), now NIST, issued a public solicitation for encryption algorithm proposals to establish a federal standard for protecting unclassified computer data. In response, submitted a refined 64-bit block version of in 1974, which underwent evaluation and modifications by the (NSA). The initial public disclosure of Lucifer's details came in 1975 through publications in the , enabling broader scrutiny and refinement. Early challenges in block cipher development stemmed from 1970s hardware constraints, such as limited memory and processing power in computers and chips, which favored smaller block sizes for practical deployment. This led to the adoption of 64-bit blocks in subsequent designs like DES, reducing from the 128-bit variant of Lucifer to improve efficiency without fully compromising diffusion properties, while still aligning with Shannon's principles.

Standardization and AES Adoption

In 1977, the National Bureau of Standards (NBS), predecessor to the National Institute of Standards and Technology (NIST), adopted the Data Encryption Standard (DES) as a federal standard under FIPS Publication 46, based on IBM's earlier Lucifer cipher with modifications including a reduced 56-bit key length. By the 1990s, DES's 56-bit key faced widespread criticism for vulnerability to brute-force attacks as computing power grew, culminating in the Electronic Frontier Foundation's (EFF) DES cracker machine demonstrating a full key search in under three days in July 1998 for less than $250,000. As an interim measure, NIST reaffirmed DES in FIPS 46-3 on October 25, 1999, while specifying the Triple Data Encryption Algorithm (TDEA), or , as the preferred method; TDEA applies DES in encrypt-decrypt-encrypt (EDE) mode with three 56-bit keys, yielding an effective 168-bit key length to enhance security against brute-force attacks. To address DES's limitations, NIST initiated the (AES) development process in 1997 through a public competition under the Information Technology Management Reform Act; after evaluating 15 candidates, NIST selected the Rijndael algorithm on October 2, 2000, and published it as FIPS 197 on November 26, 2001, specifying a 128-bit block size and key lengths of 128, 192, or 256 bits. Following AES adoption, NIST withdrew DES (FIPS 46-3) on May 19, 2005, citing its inadequate security for federal information protection. AES has since become integral to protocols like TLS for web security and for VPNs, with AES-256 remaining the recommended standard as of 2025 despite concerns over potential quantum computing threats via , which would reduce its effective strength but still deem it sufficiently secure for the foreseeable future.

Design Principles

Confusion and Diffusion

In , confusion refers to the property of a block cipher that obscures the relationship between the , the key, and the by making the output highly dependent on the key in a complex, nonlinear manner. This principle, introduced by , aims to frustrate statistical attacks by ensuring that even small changes in the key result in unpredictable alterations to the , thereby complicating efforts to deduce the key from observed plaintext-ciphertext pairs. Nonlinear components, such as substitution boxes (S-boxes), are commonly employed to achieve confusion by mapping input bits to output bits in a way that defies linear approximations. Diffusion, another foundational concept from Shannon, ensures that the influence of each plaintext bit and key bit spreads throughout the entire ciphertext block, dissipating any local statistical patterns in the input. Ideally, a single bit change in the plaintext or key should affect approximately half of the output bits, promoting uniformity and resistance to differential analysis. The avalanche effect serves as a key metric for evaluating diffusion, where changing one input bit causes about 50% of the output bits to flip, achieving a balanced distribution over multiple rounds to ensure full diffusion across the block. Shannon's criteria of , outlined in his paper, form the basis for secure block cipher design by countering known-plaintext and statistical attacks through iterative application in round-based structures. The strict criterion formalizes this balance, requiring that for any single input bit complemented, each output bit changes with probability exactly 0.5, independent of the input values: P(Δyi=1Δxj=1)=0.5P(\Delta y_i = 1 \mid \Delta x_j = 1) = 0.5 where Δxj\Delta x_j denotes a change in the jj-th input bit and Δyi\Delta y_i a change in the ii-th output bit. This criterion ensures complete and unbiased diffusion, enhancing the cipher's robustness.

Round-Based Iteration

Block ciphers predominantly employ an iterated round structure, wherein the encryption process applies a round function sequentially multiple times to the input plaintext block, with each application incorporating a unique subkey generated from the master key. This model defines the cipher as a composition of round functions: Ek(P)=FrFr1F1(P),E_k(P) = F_r \circ F_{r-1} \circ \cdots \circ F_1 (P), where rr denotes the number of rounds and each FiF_i processes the intermediate state using the ii-th subkey. The round function generally consists of key mixing (typically an XOR operation with the subkey), nonlinear substitution to introduce , and linear or operations to promote across the block. For instance, in the (AES), each round applies SubBytes for substitution, ShiftRows and MixColumns for diffusion, and AddRoundKey for mixing. Similarly, the (DES) uses 16 rounds featuring key XOR, S-box substitutions, and permutations within its round computation. The choice of round count strikes a balance between cryptographic strength and computational efficiency, commonly ranging from 8 to 16 rounds in established designs; AES uses 10 rounds for 128-bit keys, 12 for 192-bit, and 14 for 256-bit keys, while DES employs 16. Increasing the number of rounds enhances resistance to cryptanalytic attacks, such as differential and , by iteratively propagating small changes throughout the block to achieve full after sufficient iterations. Decryption mirrors the structure but applies the round functions in reverse with subkeys in reversed order, ensuring is self-invertible and permitting a single implementation for both directions. In DES, this involves using subkeys from the 16th to the 1st; AES achieves invertibility through inverse transformations like InvSubBytes and InvMixColumns, also with reversed keys. Many iterated ciphers incorporate whitening via pre-round and post-round key XORs to bolster security against exhaustive search and related-key attacks; AES's initial and final AddRoundKey steps serve this purpose, while the DESX variant explicitly adds 64-bit XORs before and after the 16 DES rounds to effectively extend the key length. The subkeys are produced by a dedicated key scheduling mechanism.

Key Scheduling Mechanisms

In block ciphers, the key schedule is an algorithm that derives a set of round subkeys from a master key, enabling the application of distinct transformations across multiple rounds. This process expands a relatively short master key of length k bits into a larger set of r subkeys, each typically of length n bits to match the block size, ensuring efficient and varied encryption operations. The key schedule algorithm commonly employs operations such as permutations, bit rotations, and substitutions via S-boxes to generate the subkeys, promoting diversity and resistance to analysis. Its primary goals include avoiding the production of weak or predictable subkeys and introducing nonlinearity to thwart linear or differential attacks on the derived keys; for instance, some designs incorporate linear feedback shift registers (LFSRs) for pseudorandom expansion or hash-like functions to enhance key dependence. From a security perspective, a robust prevents attacks such as slide attacks, which exploit periodic or similar subkeys to reduce the effective margin by aligning plaintext-ciphertext pairs across rounds. Mathematically, the expansion can be modeled as generating the i-th subkey via a pseudorandom function G, such that: Subkeyi=G(i,key),\text{Subkey}_i = G(i, \text{key}), where G ensures that subkeys are indistinguishable from random without knowledge of the master key. Variations in key schedules often accommodate decryption by reversing the order of subkeys from the encryption , allowing the inverse round function to be computed efficiently while maintaining structural symmetry. These subkeys are then applied sequentially in the round-based iteration of the to transform the data.

Architectural Variants

Feistel Ciphers

A , also known as a Feistel network, divides the input block into two equal halves, denoted as the left half L0L_0 and the right half R0R_0. Each round of the applies a round function FF to one half combined with a subkey, while the other half remains unchanged except for an XOR operation. Formally, for round ii, the updated halves are computed as: Li+1=Ri,Ri+1=LiF(Ri,Ki),L_{i+1} = R_i, \quad R_{i+1} = L_i \oplus F(R_i, K_i), where KiK_i is the subkey for round ii derived from the master key, and FF is a nonlinear function that typically operates on a fixed-size input. After rr rounds, the output is (Lr,Rr)(L_r, R_r), often followed by a swap of the halves or an initial/final for the final block. Decryption in a Feistel cipher is performed using the same round structure but with the subkeys applied in reverse order, making the process symmetric and inherently invertible without needing to compute the inverse of the round function FF. This balanced design ensures that the overall transformation is a permutation of the input space, preserving the block size. The full round transformation can be expressed compactly as (L,R)=(R,LF(R,K))(L', R') = (R, L \oplus F(R, K)). One key advantage of the Feistel structure is its computational efficiency in software implementations, as it avoids the need for modular inverses or other potentially expensive operations required in some alternative designs. Furthermore, the Luby-Rackoff theorem proves that a four-round Feistel network, when instantiated with independent pseudorandom functions for FF, constructs a strong pseudorandom permutation indistinguishable from a random permutation by any efficient adversary. With three rounds, it achieves a weaker pseudorandom permutation property. The (DES) exemplifies a with 16 rounds, where the block size is 64 bits and each half is 32 bits. In DES and similar ciphers, the round function FF is typically composed of a nonlinear substitution layer using S-boxes to provide , followed by a linear layer to aid . This combination in FF implements key principles of through the S-boxes' resistance to linear . Despite these strengths, exhibit slower per round, as changes in one half propagate only to the other half via the XOR, limiting mixing to half the block size until subsequent rounds. Achieving full across the entire block thus requires multiple rounds, potentially increasing the overall computational cost compared to designs with broader per-round mixing.

Substitution-Permutation Networks

Substitution-permutation networks (SPNs) represent a fundamental architectural variant in block cipher design, where the entire block undergoes a series of alternating nonlinear substitution and linear operations to achieve both across the state. This structure processes fixed-size blocks, typically 128 bits, by applying multiple rounds of transformations that mix the data uniformly with round-specific subkeys derived from the master key. Unlike unbalanced structures, standard SPNs apply substitutions and permutations uniformly to the full block, ensuring balanced propagation of changes throughout the process. The core structure of an SPN consists of repeated rounds featuring an initial key addition via XOR, followed by a nonlinear substitution layer using S-boxes, and then a linear mixing layer via permutations or matrix multiplications. Each round key KiK_i is XORed with the current state before substitution, promoting dependency on the key material. The substitution layer employs multiple parallel S-boxes to replace small blocks of bits (e.g., 8 bits) with nonlinear outputs, while the linear layer rearranges and mixes these outputs to spread influences across the entire state. This alternation can be formalized as the state update for round i+1i+1: Si+1=PS(SiKi)S_{i+1} = P \circ S \circ (S_i \oplus K_i) where SS denotes the substitution function (composed of S-boxes), PP the linear permutation or mixing transformation, SiS_i the state after round ii, and \circ function composition. Occasionally, arithmetic operations like modular additions may appear in the linear layers for enhanced mixing, though XOR and bit permutations remain predominant. From a security perspective, the nonlinear S-boxes provide confusion by complicating the statistical relationship between the key, plaintext, and ciphertext, as originally conceptualized in Shannon's framework for secrecy systems. Meanwhile, the linear layers ensure diffusion by propagating any single-bit change in the input to affect approximately half the output bits per round, ideally achieving full avalanche after a few iterations. SPNs are often designed with byte-oriented S-boxes to facilitate efficient implementation on byte-addressable processors, enhancing practicality without compromising the core principles. Typically, 10 to 14 rounds are employed to balance security margins against known cryptanalytic attacks, with the exact number scaled by block and key sizes to resist differential and linear cryptanalysis. Decryption in an SPN mirrors but proceeds in reverse: starting from the final round key, it applies the inverse linear layer, followed by inverse lookups (which require bijective S-boxes), and concludes with XOR of the round key. The linear layers must be invertible, often via matrix inversion over finite fields, ensuring the process is computationally equivalent in complexity to . This symmetric design simplifies implementation while maintaining the properties in reverse.

Lai-Massey and Other Structures

The Lai-Massey scheme is an alternative block cipher structure that processes two parallel branches of the input block, balancing linear and nonlinear operations to achieve security properties distinct from Feistel or substitution-permutation networks. In each round, the state is represented as a pair (Ai,Bi)(A_i, B_i). Let Di=AiBiD_i = A_i \oplus B_i. The update proceeds as follows: Ai+1=AiF(Di,Ki)A_{i+1} = A_i \oplus F(D_i, K_i) Bi+1=BiF(Di,Ki)B_{i+1} = B_i \oplus F(D_i, K_i) Here, FF is a key-dependent nonlinear round function, \oplus denotes bitwise XOR (or group operation), and KiK_i is the round subkey. This design ensures invertibility because the difference Di+1=Ai+1Bi+1=DiD_{i+1} = A_{i+1} \oplus B_{i+1} = D_i is preserved, allowing decryption by computing F(Di+1,Ki)F(D_{i+1}, K_i) from the output difference and subtracting it from both halves, without requiring the inverse of the nonlinear part of FF. To incorporate key dependency while maintaining security, FF can be constructed using orthomorphisms—bijective mappings that preserve linearity—combined with nonlinear components. The scheme was first introduced in the design of the PES cipher and later refined for the International Data Encryption Algorithm (IDEA), which uses specific operations like modular addition, XOR, and multiplication within FF. Other structures extend or modify Feistel-like iterations to handle varying branch sizes or multiple partitions. Unbalanced Feistel networks divide the block into two unequal parts, say of sizes mm and nn with mnm \neq n, where one part is updated using a round function applied to the smaller part, enabling flexible diffusion tailored to specific hardware constraints. For instance, employs an unbalanced variant incorporating data-dependent rotations, where the rotation amount for one word derives from the other, promoting avalanche effects with fewer rounds. Generalized Feistel networks further generalize this by partitioning the block into multiple branches (more than two), applying cyclic shifts or permutations across branches with round functions on subsets, as seen in multi-branch designs like those in CLEFIA. These structures offer advantages such as enhanced resistance to , owing to the balanced mixing of operations that disrupts linear approximations more effectively than balanced Feistel ciphers in certain configurations. Additionally, their ability to achieve broader per round can reduce the total number of rounds needed for , making them suitable for resource-constrained environments. However, Lai-Massey and similar schemes remain less extensively studied than mainstream architectures, potentially exposing them to undiscovered vulnerabilities in long-term analysis.

Core Operations

Substitution and Permutation Primitives

Substitution and permutation primitives form the foundational building blocks for introducing nonlinearity and in block ciphers, particularly within substitution-permutation network (SPN) architectures. S-boxes, or substitution boxes, are nonlinear bijective mappings that transform fixed-size input blocks into output blocks of the same size, typically implemented as lookup tables for efficiency. Common dimensions include 8×8 tables operating on bytes, as seen in the (AES), where each entry maps an 8-bit input to an 8-bit output to obscure the relationship between and . The output of an S-box is denoted as y=S(x)y = S(x), where xx is the input vector and SS is the substitution function. Key design criteria for S-boxes emphasize cryptographic strength against common attacks, including high nonlinearity and low differential uniformity. Nonlinearity measures the minimum distance from the S-box to the set of all affine functions, ideally approaching 2m12m/212^{m-1} - 2^{m/2 - 1} for an mm-bit to resist , with the AES achieving the optimal value of 112 for m=8m=8. Differential uniformity, defined as the maximum number of outputs for any nonzero input difference, should be minimized to thwart ; the AES attains the optimal value of 4 for 8 bits, ensuring no input difference produces more than four output differences. Additionally, S-boxes must satisfy the strict avalanche criterion (SAC), where flipping a single input bit changes approximately 50% of the output bits on average, promoting rapid diffusion of changes. S-boxes are constructed using algebraic methods to meet these criteria, such as composing a multiplicative inverse in a finite field like GF(28)\mathrm{GF}(2^8) with an affine transformation, as in the AES design, or by leveraging bent functions—which achieve perfect nonlinearity—for component-wise construction to maximize resistance to linear approximations with bias below 2m/22^{-m/2}. These approaches ensure the S-box provides robust confusion without linear dependencies. Permutation primitives, in contrast, are linear operations that rearrange or mix bits to achieve , spreading the influence of each input bit across the output. These can involve simple bit shuffling, such as fixed that transpose bit positions, or more sophisticated linear transformations like over GF(2)\mathrm{GF}(2), which ensure that changes in a single bit propagate to multiple output bits. In standard block ciphers, permutations are typically fixed and independent of the key to simplify analysis and implementation, though key-dependent variants exist in some designs for added variability.

ARX Operations

ARX operations form a foundational in the design of certain block ciphers, relying on three elementary bitwise and arithmetic instructions: modular addition, , and XOR. These operations enable efficient mixing of data without the need for precomputed tables, making ARX particularly suitable for software implementations on resource-constrained devices. Modular addition operates on n-bit words 2n2^n, introducing nonlinearity through carry propagation that bits across the ; for instance, the carry into position ii depends on the of the previous bits and carry. Rotation performs fixed-bit circular shifts, either left (r\llcorner r) or right (\ggcornerr\ggcorner r), which rearrange bits to enhance diffusion without data loss. XOR provides linear mixing by bitwise exclusive-or, combining inputs over the field F2\mathbb{F}_2. Together, these components form a functionally complete set when constants are available, allowing complex transformations with minimal instruction overhead. The primary advantages of ARX lie in its simplicity and performance: it avoids lookup tables, reducing and vulnerability to cache-timing attacks, while executing rapidly on general-purpose CPUs due to native support for these instructions. For example, the family of lightweight block ciphers employs ARX exclusively in its round function for block sizes from 32 to 128 bits. Security in ARX designs stems from the nonlinearity of modular addition, which prevents straightforward linear approximations and supports resistance to differential and when sufficient rounds are used; the SIMON family similarly leverages ARX for hardware-optimized block encryption. A representative ARX round can be expressed as: x=(x+y)rzx' = (x + y) \llcorner r \oplus z where ++ denotes modular addition, r\llcorner r is left rotation by rr bits, and \oplus is XOR. BLAKE2, a hash function adaptable to block-like processing, applies multiple such ARX rounds for compression. ARX techniques also appear briefly in key scheduling for expansion in ciphers like SPECK.

Modular Arithmetic Techniques

Modular multiplication in finite fields GF(2^n) serves as a fundamental technique in block ciphers to achieve enhanced nonlinearity and diffusion through polynomial arithmetic. In this operation, elements are represented as polynomials over GF(2), and multiplication involves the product of two such polynomials followed by reduction modulo an irreducible polynomial of degree n. This process ensures that a single bit change in the input can affect multiple output bits, promoting avalanche effects essential for security. For instance, in GF(2^8), the multiplication of two elements a(x)a(x) and b(x)b(x) is computed as: (a(x)b(x))modp(x)(a(x) \cdot b(x)) \mod p(x) where p(x)p(x) is an irreducible polynomial, such as x8+x4+x3+x+1x^8 + x^4 + x^3 + x + 1. This technique, employed in diffusion layers of ciphers like AES, leverages the algebraic structure of finite fields to mix data effectively across the block. Beyond GF(2^n) multiplications, other modular arithmetic techniques include inversion and exponentiation modulo a prime. Modular inversion computes the multiplicative inverse of an element modulo a prime p, satisfying aa11(modp)a \cdot a^{-1} \equiv 1 \pmod{p}, often using algorithms like the extended Euclidean method. Exponentiation, such as aemodpa^e \mod p, introduces strong nonlinearity suitable for S-box generation. These were utilized in NESSIE project candidates, for example, SAFER++ derives its S-boxes from exponentiation and discrete logarithms modulo the prime 257, enhancing confusion properties. Such techniques bolster resistance to algebraic attacks, including and methods, by creating high-degree multivariate equations over the field that are computationally infeasible to solve for the key. The nonlinear nature of field multiplications and inversions increases the algebraic , making it harder for attackers to linearize the cipher's equations compared to simpler operations. Despite their security benefits, operations incur higher hardware costs, requiring dedicated circuitry for polynomial reductions and multiplications, which can demand 20-50% more gates than bitwise XOR in resource-constrained implementations. This trade-off is particularly relevant in for block ciphers targeting IoT devices, where ongoing research optimizes GF(2^n) routines—such as using composite fields or lookup tables—to balance strength with low area (e.g., under 2000 GE) and power consumption. These field-based methods complement ARX operations by providing superior nonlinearity for layers in hybrid designs.

Modes of Operation

Block-Oriented Modes

Block-oriented modes of operation for block ciphers process data in fixed-size blocks, typically matching the cipher's block length, such as 128 bits for AES. These modes enable the of messages longer than a single block by applying the underlying block cipher to each block, often with mechanisms to link blocks for enhanced security. They generally support parallel processing during or decryption, depending on the mode, but differ in how they handle error propagation: a bit error in a ciphertext block may corrupt the corresponding plaintext block and potentially affect subsequent blocks. is required when the message length is not a multiple of the block size to ensure complete blocks for processing. The Electronic Codebook (ECB) mode is the simplest block-oriented approach, encrypting each plaintext block independently using the block cipher under the same key. In ECB, identical plaintext blocks produce identical ciphertext blocks, which can reveal patterns in the data, such as in images or , making it unsuitable for most applications. ECB supports full parallelization for both encryption and decryption since blocks are processed independently, but it lacks between blocks. ECB is malleable, allowing an adversary to modify ciphertext blocks without detection, as changes to one block do not affect others. Cipher Block Chaining (CBC) mode improves security by chaining blocks: the first plaintext block is XORed with an initialization vector (IV) before encryption, and each subsequent block is XORed with the previous ciphertext block. This hides patterns from identical plaintext blocks and provides diffusion across the message. The encryption equation is: Ci=Ek(PiCi1)C_i = E_k(P_i \oplus C_{i-1}) where C0C_0 is the IV, EkE_k is the block cipher encryption under key kk, PiP_i is the ii-th plaintext block, and CiC_i is the ii-th ciphertext block. Decryption reverses the process using the block cipher's decryption function DkD_k. CBC requires a unique, unpredictable IV per message to maintain security and allows parallel decryption but not parallel encryption due to the dependency on prior blocks. A single-bit error in a ciphertext block corrupts the corresponding plaintext block entirely and flips one bit in the next, limiting propagation to one block. CBC is chosen-plaintext secure (IND-CPA) when used with a random IV, providing semantic security against passive adversaries. Cipher Feedback (CFB) mode uses the block cipher to generate a keystream by encrypting the previous (or IV for the first block), then XORing it with the to produce the next segment; for full-block operation (segment size equal to block size), this mimics a but relies on block s. The decryption equation for full-block CFB is: Pi=CiEk(Ci1)P_i = C_i \oplus E_k(C_{i-1}) where EkE_k is the block cipher under key kk. CFB is self-synchronizing, recovering from s after one block, but a bit affects the current and several subsequent segments depending on the feedback shift. It requires a unique IV and supports parallel decryption after serial input reconstruction, though is serial. Output Feedback (OFB) mode generates a keystream by iteratively encrypting the output of the previous step, starting from an IV, and XORing it with the to form ; this avoids feeding back, preventing error propagation into the keystream. OFB treats the block cipher as a , allowing precomputation of the keystream for parallel and decryption. However, reusing the same IV with the same key compromises the entire keystream, severely weakening , so IVs must be unique nonces. Like CFB, OFB provides stream-like but is fundamentally block-based in its invocations.

Stream-Like Modes

Stream-like modes of operation for block ciphers generate a keystream by repeatedly applying the cipher to structured inputs, such as counters or tweaked values, which is then XORed with the to produce of arbitrary length. This approach transforms the block cipher into a synchronous , enabling efficient processing of data streams without the need for block chaining. These modes prioritize flexibility and performance, particularly in scenarios requiring high throughput or parallel computation. The Counter (CTR) mode constructs the keystream by encrypting successive counter blocks, typically formed by concatenating a nonce or initialization vector (IV) with an incrementing counter value to ensure uniqueness across messages under the same key. The encryption process for each block is defined as Ci=PiEk(noncecounteri)C_i = P_i \oplus E_k(\text{nonce} \parallel \text{counter}_i), where EkE_k denotes the block cipher encryption function under key kk, PiP_i is the ii-th plaintext block, and \parallel indicates concatenation. CTR mode supports full parallelization during both encryption and decryption, as each block's keystream can be computed independently, and it exhibits no error propagation, with bit errors in a ciphertext block affecting only the corresponding plaintext block. This mode was proposed for standardization in AES modes by Black and Rogaway, emphasizing its simplicity and efficiency. Galois/Counter Mode (GCM) extends CTR by integrating , using CTR for while employing the GHASH function—a universal hash over the Galois field GF(2^{128})—to compute an authentication tag over the and any associated data. In GCM, the CTR variant (GCTR) generates the keystream from an initial counter block derived from the IV, and GHASH uses a hash subkey derived from the block cipher to produce the tag, ensuring both privacy and integrity. As an with associated data (AEAD) scheme, GCM is approved by NIST in Special Publication 800-38D for protecting sensitive data in communications and storage. Its design balances computational efficiency with strong security guarantees, making it widely adopted in protocols like TLS. XTS-AES mode is tailored for encrypting on block-oriented storage devices, functioning as a tweakable block cipher where the tweak value—typically the sector —customizes the for each unit, preventing attacks that exploit identical patterns across sectors. It employs two keys: one for deriving the tweak via in GF(2^{128}), and another for the core AES , allowing the mode to handle units of 128 bits or more without through a ciphertext-stealing technique for the final partial block. Standardized in IEEE 1619-2007 and approved by NIST for applications, XTS ensures length-preserving suitable for fixed-size storage blocks. Tweakable variants extending XTS principles have been developed for more general-purpose in storage systems. Regarding security, CTR mode achieves indistinguishability under (IND-CPA) security, provided the underlying block cipher behaves as a and all counter blocks remain unique across encryptions under the same key. However, nonce reuse in CTR is catastrophic, as it results in identical keystreams for multiple messages, enabling attackers to recover by XORing corresponding blocks and compromising overall . Similar uniqueness requirements apply to tweaks in modes like XTS to maintain security against chosen-plaintext adversaries.

Padding and Formatting

Standard Padding Schemes

Block ciphers require input data to be a multiple of the block size, typically achieved by appending to the before . Standard padding schemes ensure that this extension is reversible upon decryption, allowing the original message length to be recovered. These methods are commonly applied in modes of operation such as CBC, where the padded is divided into blocks for processing. PKCS#7 padding, also known as PKCS#5 for 8-byte blocks, appends a sequence of bytes to the , where each padding byte equals the number of bytes added, ranging from 1 to the full block size. For example, if 3 bytes are needed to reach the block boundary, three bytes each with value 3 (0x03) are appended. This scheme is defined in the (CMS) standard and is removable on decryption by checking the value of the last byte to strip the corresponding number of trailing bytes. ANSI X.923 padding, specified in the withdrawn ANSI X9.23 standard, similarly extends the but fills the padding area with zero bytes except for the final byte, which indicates the total number of padding bytes added. For instance, to add 3 bytes, it appends two zero bytes followed by a byte with value 3 (0x03). This method ensures unambiguous removal during decryption by reading the last byte and discarding the preceding zeros up to that count, maintaining compatibility with legacy systems despite the standard's withdrawal. The length of padding required in these schemes is calculated as pad length=b(lmodb)\text{pad length} = b - (l \mod b), where bb is the block size and ll is the length; if lmodb=0l \mod b = 0, a full block of is added. However, deterministic like and ANSI X.923 can introduce vulnerabilities, such as padding oracle attacks, where an attacker exploits decryption feedback to recover byte-by-byte. These attacks were first demonstrated by Serge Vaudenay in 2002 against CBC mode with padding oracles. To mitigate such issues, ISO 10126 padding introduces randomness by filling the padding area with arbitrary bytes, followed by a final byte specifying the padding length. This scheme, defined in ISO/IEC 10126-2 (withdrawn in 2007), enhances security against certain side-channel attacks while remaining removable on decryption, though it requires a reliable random number generator.

Format Considerations

In block cipher encryption, format considerations extend beyond basic padding to ensure the integrity and unambiguous recovery of the original structure. A critical aspect involves incorporating explicit fields, which can be prepended or appended to the before in some protocols. These fields specify the exact byte of the , allowing the decryptor to precisely delineate the from any without relying on validation alone. This approach mitigates removal attacks, such as those exploiting ambiguous boundaries in modes like CBC, where an adversary might manipulate ciphertexts to infer through error responses. For instance, in the TLS protocol, each record includes a 16-bit field in its unencrypted header, which defines the size of the following encrypted fragment and facilitates proper decryption. To further safeguard against malleability—where minor ciphertext alterations could yield valid but altered plaintext—careful encoding of structured data is essential. For binary or hierarchical data, with Distinguished Encoding Rules (DER) provides a non-malleable format, ensuring that any deviation from the encoding results in failure rather than subtle semantic changes. This is particularly valuable in cryptographic contexts like certificate handling, where DER's strict rules prevent adversaries from forging valid structures through bit flips. Similarly, for textual or internationalized data, encoding is recommended due to its representation, which avoids overlong or invalid sequences that could introduce exploitable ambiguities when decrypted. Strict validation during encoding and decoding ensures that the format resists malleability while maintaining compatibility. Best practices emphasize integrating these elements within established protocols, such as TLS, where explicit lengths are combined with padding schemes to achieve robust format preservation. Symmetric block ciphers like AES remain quantum-resistant when using sufficiently large key sizes (e.g., AES-256 providing at least 128 bits of ), as noted in NIST's guidance.

Cryptanalytic Methods

Brute-Force Attacks

A , also known as an exhaustive key search, on a block cipher involves systematically trying every possible key in the key space until the correct key is found that, when used to decrypt a known , produces the expected corresponding . This approach requires no knowledge of the cipher's internal structure and relies solely on computational power to enumerate the 2k2^k possible keys, where kk is the key length in bits. The of this attack is O(2k)O(2^k), making it infeasible for sufficiently large kk due to the exponential growth in required operations. For block ciphers using multiple encryptions, such as double encryption with two independent keys, the meet-in-the-middle attack reduces the effective complexity. Introduced by Diffie and Hellman in their analysis of the (DES), this technique involves encrypting the with all possible first keys and storing the intermediate results, then decrypting the with all possible second keys to find a match in the middle, requiring O(2k/2)O(2^{k/2}) time and space for a total key length of kk. This provides a square-root over pure brute force for such constructions but does not affect single-encryption ciphers. In practice, the DES with its 56-bit key was vulnerable to brute-force attacks, as the full key space of 2562^{56} equates to approximately 72 quadrillion operations in the worst case. This was demonstrated in 1998 when the (EFF) built a specialized hardware device, known as the DES Cracker, that exhaustively searched the key space in 56 hours using custom . In contrast, the (AES)-128, with a 128-bit key, provides security against brute-force attacks equivalent to 21282^{128} operations, which remains computationally infeasible with current and foreseeable classical hardware. To mitigate brute-force attacks, block ciphers employ longer key lengths, such as 128 bits or more, to exponentially increase the search space. However, the advent of introduces , which offers a quadratic for unstructured search problems, reducing the effective of key search to approximately 2k/22^{k/2} quantum operations for a kk-bit key. This implies that AES-128 would offer only 64 bits of quantum security, prompting recommendations for larger keys like AES-256 in post-quantum contexts.

Differential and Linear Cryptanalysis

Differential cryptanalysis is a on block ciphers that exploits the propagation of differences between pairs of plaintexts through the cipher's rounds to predict differences in the corresponding ciphertexts with a probability greater than random. The core idea involves selecting plaintext pairs with a specific input difference ΔP and observing the output difference ΔC, aiming to find high-probability paths where the difference evolves predictably. A differential characteristic is a trail of differences across rounds that achieves this high probability, often focusing on active S-boxes where differences are introduced or amplified. The differential probability δ for a characteristic is defined as the probability that a given input difference Δin leads to a specific output difference Δout through the round function f:

δ = Pr[Δ_out = f(Δ_in)]

δ = Pr[Δ_out = f(Δ_in)]

This probability is multiplicative over rounds for independent characteristics, and the attack's success depends on accumulating enough pairs to distinguish the correct key from random guesses. Eli Biham and introduced differential cryptanalysis in 1990, demonstrating its application to reduced-round DES variants and highlighting vulnerabilities in ciphers with predictable difference propagation. Linear cryptanalysis, in contrast, is a known-plaintext attack that approximates the cipher's operation as a over GF(2), seeking correlations between plaintext bits, ciphertext bits, and key bits that hold with probability deviating from 1/2. It constructs linear approximations, such as P ⊕ C ≈ L(K), where P is plaintext, C is ciphertext, K is the key, and L is a of key bits, by analyzing XOR equalities through the cipher's non-linear components like S-boxes. The ε of such an approximation measures the deviation from randomness and is given by:

ε = |Pr[equation holds] - 1/2|

ε = |Pr[equation holds] - 1/2|

For an n-bit block cipher, a bias of approximately 2-n/2 is often sufficient for key recovery using statistical tests on large samples. Mitsuru Matsui developed linear cryptanalysis in 1993, introducing Algorithm 1 for partial key recovery via linear approximations and Algorithm 2 for full key search using multiple approximations, both relying on the piling-up lemma to combine biases across rounds. These methods revealed significant weaknesses in DES: differential cryptanalysis breaks 15-round DES with about 247 chosen plaintexts, while recovers the full 16-round DES key using 243 known plaintexts and a of roughly 241 operations. In response, modern block ciphers like AES were designed with high resistance; its wide-trail strategy and S-box properties limit the maximum differential probability to 2-6 per round and linear to 2-5, ensuring no practical full-round attacks via these methods. S-box nonlinearity plays a key role in this resistance by minimizing predictable difference propagations and linear correlations.

Integral and Higher-Order Attacks

Integral cryptanalysis, introduced as a dual to differential cryptanalysis, analyzes the sum of function values over a of inputs rather than pairwise differences. This method partitions plaintexts into subsets where the sum, known as an , equals zero, exploiting properties preserved through cipher rounds. For a SS over a finite and function ff, the property holds when H(S)=xSf(x)=0H(S) = \sum_{x \in S} f(x) = 0. It is particularly effective against substitution-permutation networks (SPNs) with bijective S-boxes, where sums of bytes can be tracked as constant (C), active (A), or summed (S) across rounds. In practice, integral cryptanalysis constructs distinguishers for reduced-round ciphers by selecting plaintext sets that yield zero sums after certain rounds. For example, a 3-round integral distinguisher on Rijndael (AES precursor) uses 256 texts where all bytes differ after two rounds, summing to zero after the third. Extending to key recovery, a 4-round attack on Rijndael requires 2322^{32} chosen plaintexts and 2562^{56} encryptions. The Square attack, an early integral variant, targets 4-round AES with similar low-data complexity but no threat to full 10 rounds. Higher-order differential cryptanalysis generalizes first-order differentials by considering multi-point differences, equivalent to higher-degree derivatives of the cipher as a polynomial over finite fields. The kk-th order difference Δkf(x)\Delta^k f(x) is the XOR of (nk)\binom{n}{k} function evaluations, where nn is the input size; propagation through rounds increases the degree based on S-box nonlinearities. A cipher resists such attacks if its total algebraic degree is less than the number of rounds, as higher-order differences become zero beyond the degree. For instance, 6-round DEAL succumbs to a higher-order attack using truncated differences, requiring 2372^{37} chosen plaintexts. Boomerang attacks amplify short differential trails by splitting the into two parts and using a "" quartet of plaintext-ciphertext pairs with expected intermediate matches. The probability is approximately the square of the product of the two short-trail probabilities, enabling attacks on ciphers resistant to standard differentials. Impossible differential attacks identify paths with zero probability and eliminate candidate keys that would produce such contradictions during partial decryption. For Skipjack reduced to 31 rounds, this yields an attack with 2412^{41} chosen plaintexts and 2782^{78} time . These techniques have demonstrated vulnerabilities in reduced-round versions of modern ciphers like AES, with impossible differentials breaking 7 of 10 rounds using 21102^{110} encryptions and 21062^{106} chosen plaintexts for AES-128. However, no practical attacks exceed 7-8 rounds for AES as of 2025, affirming its full-round against these methods.

Security Models

Provable Security in Standard Model

In the of , provable for block ciphers is established through reductions showing that the construction is computationally indistinguishable from a (PRP) under (IND-CPA), without relying on idealized oracles or random oracles. This approach quantifies via the distinguishing advantage of an efficient adversary making q queries to the cipher or a random permutation, aiming for negligible advantage relative to the computational resources available. The foundational result in this domain is the Luby-Rackoff construction, which demonstrates that a balanced Feistel network using three independent pseudorandom round functions yields a secure PRP in the standard model, with the adversary's distinguishing advantage bounded by O(q^2 / 2^n), where n is the block length in bits. For stronger security against chosen-ciphertext attacks (IND-CCA), four rounds suffice to achieve a strong PRP (sPRP) with the same bound on advantage. These proofs assume the round functions are secure pseudorandom functions (PRFs), reducing the PRP security to the PRF security of the components. However, these theoretical guarantees have limitations when applied to practical block ciphers, as no complete security proofs exist in the standard model for real designs like AES or DES; the constructions rely on the unproven assumption that their specific round functions behave as ideal PRFs. Security for such ciphers is instead inferred from resistance to known attacks and design principles, rather than direct provable reductions. To achieve a security level λ bits, the advantage must satisfy ε < 2^{-λ}, typically requiring q << 2^{n/2} to stay below the birthday bound inherent in the O(q^2 / 2^n) term.

Ideal Cipher Model Assumptions

The ideal cipher model conceptualizes a block cipher as a family of 2k2^k independent, uniformly random permutations over a domain of 2n2^n elements, where kk denotes the key length and nn the block size. In this framework, for any fixed key, the function behaves as a random , and these permutations are mutually independent across distinct keys, ensuring no structural correlations that could be exploited by adversaries. This abstraction, originating from Shannon's foundational work on , facilitates the analysis of higher-level cryptographic constructions by assuming the block cipher provides perfect randomness under key indexing. A prominent application of this model is in proving the of block cipher modes of operation, such as counter (CTR) mode, which achieves indistinguishability under (IND-CPA) when the underlying cipher is ideal. Similarly, the model underpins proofs for advanced primitives like tweakable block ciphers, where constructions can be shown to resist attacks up to the birthday bound or beyond, inheriting the ideal permutation properties to ensure privacy and authenticity in or authenticated modes. The Even-Mansour construction serves as a practical instantiation approximating an ideal , consisting of a single round where the is XORed with a key, passed through a public , and XORed with another key (often the same). When the inner is ideal, this yields a with security bound O(q22n),O\left(\frac{q^2}{2^n}\right), where qq is the number of queries. Despite its utility, the ideal cipher model has been critiqued for over-idealizing block ciphers, as real implementations exhibit inherent structure (e.g., round functions and key schedules) that deviate from true randomness, potentially invalidating proofs when instantiated. For instance, schemes proven secure in the model may become insecure against non-generic attacks exploiting the cipher's algebraic properties, highlighting the need for caution in bridging idealized assumptions to practical designs.

Evaluation and Examples

Design Criteria and Testing

The design of block ciphers emphasizes three primary criteria: security, , and flexibility. Security requires robust resistance to known cryptanalytic attacks, ensuring no practical breaks on the full cipher while providing a safety margin against partial attacks on reduced-round versions. focuses on high across diverse platforms, including software (e.g., general-purpose processors) and hardware (e.g., , FPGAs), measured by throughput and resource usage. Flexibility demands support for standardized block sizes, such as 128 bits, and variable key lengths like 128, 192, and 256 bits, to accommodate evolving applications without redesign. These criteria were formalized in the 1997 NIST call for the (AES), prioritizing long-term protection for sensitive data over unclassified systems for at least 30 years. Testing block ciphers involves rigorous evaluation against cryptanalytic methods, including searches for differential and linear trails to bound attack probabilities. Statistical tests assess output randomness using suites like NIST SP 800-22, which apply 15 tests (e.g., frequency, runs, and approximate entropy) to detect non-random patterns in cipher outputs. Side-channel testing evaluates vulnerabilities to timing discrepancies, power consumption variations, and electromagnetic emissions during execution, often through leakage assessments like Test Vector Leakage Assessment (TVLA). No full-round breaks are required for approval, but designs must demonstrate margins, such as at least 2-3 times the attack complexity of the key size. Standardization processes rely on open competitions to vet designs. The CAESAR competition (2013-2019) evaluated schemes, many based on block ciphers, for security, software/hardware performance, and robustness against misuse. As of 2025, efforts focus on lightweight cryptography for IoT devices, emphasizing low gate equivalents, minimal energy use, and suitability for constrained environments like sensors. Efficiency metrics include cycles per byte in software implementations, where lower values indicate better performance; for instance, targets under 10 cycles/byte on embedded processors for real-time applications.

Notable Block Ciphers

The (DES), adopted as a federal standard in 1977, is a symmetric block cipher that processes 64-bit blocks using a 56-bit key through 16 rounds of a Feistel network. Its design emphasized balance between security and efficiency for hardware implementation, but the short key length rendered it vulnerable to brute-force attacks by the late , with practical demonstrations achieving key recovery in under three days using specialized hardware. Today, DES sees legacy use primarily in triple-encrypted variants for , though single DES is deprecated for new systems. The Advanced Encryption Standard (AES), selected in 2001 from the Rijndael proposal by Joan Daemen and Vincent Rijmen, operates on 128-bit blocks with key sizes of 128, 192, or 256 bits, employing 10, 12, or 14 rounds respectively in a substitution-permutation network (SPN) structure that incorporates S-boxes for nonlinear substitution and MixColumns for diffusion. Standardized as FIPS 197, AES balances security and performance across hardware and software, supporting widespread adoption in protocols like TLS and disk encryption. Blowfish, introduced by in , is a 64-bit block cipher with variable key lengths from 32 to 448 bits, structured as 16 Feistel rounds featuring key-dependent S-boxes and P-arrays for enhanced resistance to analysis. Designed for speed in software implementations without patents or licensing fees, it achieves high throughput on general-purpose processors, making it suitable for applications like file encryption in tools such as PGP. RC5, proposed by Ronald Rivest in 1994, supports configurable block sizes of 32, 64, or 128 bits, with key lengths up to 2040 bits and a variable number of rounds (typically 12 or more), relying on an ARX (, , eXclusive-or) construction that includes data-dependent rotations for mixing. Its parametric design allows adaptation to different security levels and platforms, contributing to its use in early software libraries. Other notable designs include the (IDEA), developed by Xuejia Lai and James Massey in 1991 using a Lai-Massey scheme with 64-bit blocks and 128-bit keys over 8.5 rounds, which mixes operations from distinct algebraic groups for security against linear attacks. In the lightweight domain, the NSA's Simon and families, released in 2013, provide flexible ARX-based ciphers optimized for resource-constrained devices like IoT sensors, with variants supporting blocks from 32 to 128 bits and ongoing adoption in embedded systems as of 2025.

Extensions and Applications

Tweakable and Wide-Block Variants

A tweakable block cipher extends the standard block cipher primitive by incorporating an additional public input known as a tweak, which varies the induced by a fixed key without providing secrecy, enabling applications like encryption where each sector number serves as a unique tweak. This concept was formalized by Liskov, Rivest, and Wagner in 2002 to streamline modes of operation by embedding variability directly into the cipher rather than relying on external components like initialization vectors. Key constructions include the LRW (Liskov-Rivest-Wagner) mode, which augments a base block cipher EkE_k with a tweak-dependent universal h(t)h(t) to compute E~k,t(P)=Ek(Ph(t))h(t)\tilde{E}_{k,t}(P) = E_k(P \oplus h(t)) \oplus h(t), ensuring efficient with minimal overhead. Another prominent example is the XEX (XOR-encrypt-XOR) construction underlying XTS-AES, where the tweak is derived from a data unit identifier, such as a sector address, to produce Ci=Ek(Piαit)αitC_i = E_k(P_i \oplus \alpha^{i \cdot t}) \oplus \alpha^{i \cdot t} over GF(21282^{128}). The of tweakable block ciphers is analyzed in the tweakable strong (SPRP) model, where, for a fixed key kk, the family {Ek,t}t\{E_{k,t}\}_{t} consists of independent random permutations over distinct tweaks tt, indistinguishable from a family except with negligible advantage. This preserves the (PRP) property of the underlying cipher while ensuring Ek,t(P)E_{k,t}(P) yields distinct behaviors for different tt, with bounds like SecE~(q,τ)SecE(q,τ)+3ϵq2\text{Sec}' \tilde{E}(q, \tau) \leq \text{Sec}' E(q, \tau) + 3\epsilon q^2 for LRW under almost-xor-universal hashing. Tweakable ciphers find use in modes like XTS, which leverages the tweak for sector-specific uniqueness, and in where positional data acts as the tweak to maintain output structure. Wide-block variants of block ciphers, including tweakable ones, expand the block size beyond 128 bits—typically to 256 or 512 bits—to encrypt larger data units in a single operation, reducing overhead in scenarios like full-disk where traditional narrow blocks would require inefficient . These are constructed using frameworks like the wide Even-Mansour , which builds a tweakable wnwn-bit from ww parallel nn-bit public permutations with key and tweak XORs, achieving beyond-birthday up to roughly 22n/32^{2n/3} queries. Substitution-permutation network (SPN)-based wide designs iterate smaller S-boxes and tweakable permutations over multiple rounds, as in TBPE (Tweakable Blockwise ), providing multi-user against differential and linear attacks. As of 2025, advancements in tweakable ciphers address quantum threats through designs like QARMAv2, a family supporting 64- and 128-bit blocks with up to 256-bit tweaks, engineered for low-latency hardware and expected to offer quantum security equivalent to AES-128 against . In June 2025, NIST launched the development of Cryptographic Accordions, a new family of tweakable block cipher modes designed to operate on variable-length inputs for enhanced flexibility in applications like .

Integration with Other Primitives

Block ciphers are frequently integrated into with associated (AEAD) schemes to provide both confidentiality and authenticity for messages, often including unencrypted metadata. In Galois/Counter Mode (GCM), a block cipher such as AES operates in counter mode for parallelizable , combined with a Galois field multiplication for authentication, enabling efficient processing of variable-length . Similarly, Counter with () mode employs a block cipher in counter mode for and cipher block chaining (CBC) for message authentication, ensuring while supporting associated . These modes, which build on standard block cipher operations, have become staples in protocols like TLS and for secure transmission. For message authentication codes (MACs), block ciphers form the basis of constructions like CMAC, which modifies the algorithm to handle messages of any length securely by using a subkey derived from the cipher. While typically relies on hash functions, variants using block ciphers as the underlying primitive in place of hashes are rare due to efficiency concerns with dedicated hash designs. A key example of block cipher integration in hashing is the Davies-Meyer construction, where the hash of a message block mm is computed as H(m)=Em(H)HH(m) = E_m(H') \oplus H', with EE as the block cipher and HH' the previous hash value, providing a collision-resistant compression function when iterated in structures like Merkle-Damgård. Block ciphers can also emulate ciphers by generating a pseudorandom keystream through modes like counter (CTR), which encrypts successive counter values to produce a keystream XORed with , offering an alternative to dedicated ciphers like in scenarios requiring high-speed, parallel encryption. This approach leverages the block cipher's strength while avoiding padding issues inherent in block modes. Beyond direct use, block ciphers serve as building blocks for hash functions, as seen in , which employs a modified AES-like block cipher in a Miyaguchi-Preneel construction to produce 512-bit digests resistant to collision attacks. In the post-quantum era as of 2025, block ciphers like AES are integrated into hybrid schemes combining classical symmetric encryption with quantum-resistant key encapsulation mechanisms, such as ML-KEM, to maintain in protocols amid advancing quantum threats.

References

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