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Cryptanalysis
Cryptanalysis
from Wikipedia
Reconstruction of the appearance of cyclometer, a device used to break the encryption of an early version of the Enigma machine. Based on sketches in Marian Rejewski's memoirs.

Cryptanalysis (from the Greek kryptós, "hidden", and analýein, "to analyze") refers to the process of analyzing information systems in order to understand hidden aspects of the systems.[1] Cryptanalysis is used to breach cryptographic security systems and gain access to the contents of encrypted messages, even if the cryptographic key is unknown.

In addition to mathematical analysis of cryptographic algorithms, cryptanalysis includes the study of side-channel attacks that do not target weaknesses in the cryptographic algorithms themselves, but instead exploit weaknesses in their implementation.

Even though the goal has been the same, the methods and techniques of cryptanalysis have changed drastically through the history of cryptography, adapting to increasing cryptographic complexity, ranging from the pen-and-paper methods of the past, through machines like the British Bombes and Colossus computers at Bletchley Park in World War II, to the mathematically advanced computerized schemes of the present. Methods for breaking modern cryptosystems often involve solving carefully constructed problems in pure mathematics, the best-known being integer factorization.

Overview

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In encryption, confidential information (called the "plaintext") is sent securely to a recipient by the sender first converting it into an unreadable form ("ciphertext") using an encryption algorithm. The ciphertext is sent through an insecure channel to the recipient. The recipient decrypts the ciphertext by applying an inverse decryption algorithm, recovering the plaintext. To decrypt the ciphertext, the recipient requires a secret knowledge from the sender, usually a string of letters, numbers, or bits, called a cryptographic key. The concept is that even if an unauthorized person gets access to the ciphertext during transmission, without the secret key they cannot convert it back to plaintext.

Encryption has been used throughout history to send important military, diplomatic and commercial messages, and today is very widely used in computer networking to protect email and internet communication.

The goal of cryptanalysis is for a third party, a cryptanalyst, to gain as much information as possible about the original ("plaintext"), attempting to "break" the encryption to read the ciphertext and learning the secret key so future messages can be decrypted and read.[1] A mathematical technique to do this is called a cryptographic attack. Cryptographic attacks can be characterized in a number of ways:

Amount of information available to the attacker

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Cryptanalytical attacks can be classified based on what type of information the attacker has available. As a basic starting point it is normally assumed that, for the purposes of analysis, the general algorithm is known; this is Shannon's Maxim "the enemy knows the system"[2] – in its turn, equivalent to Kerckhoffs's principle.[3] This is a reasonable assumption in practice – throughout history, there are countless examples of secret algorithms falling into wider knowledge, variously through espionage, betrayal and reverse engineering. (And on occasion, ciphers have been broken through pure deduction; for example, the German Lorenz cipher and the Japanese Purple code, and a variety of classical schemes):[4]

  • 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.

Computational resources required

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Attacks can also be characterised by the resources they require. Those resources include:[5]

  • Time – the number of computation steps (e.g., test encryptions) which must be performed.
  • Memory – the amount of storage required to perform the attack.
  • Data – the quantity and type of plaintexts and ciphertexts required for a particular approach.

It is sometimes difficult to predict these quantities precisely, especially when the attack is not practical to actually implement for testing. But academic cryptanalysts tend to provide at least the estimated order of magnitude of their attacks' difficulty, saying, for example, "SHA-1 collisions now 252."[6]

Bruce Schneier notes that even computationally impractical attacks can be considered breaks: "Breaking a cipher simply means finding a weakness in the cipher that can be exploited with a complexity less than brute force. Never mind that brute-force might require 2128 encryptions; an attack requiring 2110 encryptions would be considered a break...simply put, a break can just be a certificational weakness: evidence that the cipher does not perform as advertised."[7]

Partial breaks

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The results of cryptanalysis can also vary in usefulness. Cryptographer Lars Knudsen (1998) classified various types of attack on block ciphers according to the amount and quality of secret information that was discovered:

  • Total break – the attacker deduces the secret key.
  • Global deduction – the attacker discovers a functionally equivalent algorithm for encryption and decryption, but without learning the key.
  • Instance (local) deduction – the attacker discovers additional plaintexts (or ciphertexts) not previously known.
  • Information deduction – the attacker gains some Shannon information about plaintexts (or ciphertexts) not previously known.
  • Distinguishing algorithm – the attacker can distinguish the cipher from a random permutation.

Academic attacks are often against weakened versions of a cryptosystem, such as a block cipher or hash function with some rounds removed. Many, but not all, attacks become exponentially more difficult to execute as rounds are added to a cryptosystem,[8] so it's possible for the full cryptosystem to be strong even though reduced-round variants are weak. Nonetheless, partial breaks that come close to breaking the original cryptosystem may mean that a full break will follow; the successful attacks on DES, MD5, and SHA-1 were all preceded by attacks on weakened versions.

In academic cryptography, a weakness or a break in a scheme is usually defined quite conservatively: it might require impractical amounts of time, memory, or known plaintexts. It also might require the attacker be able to do things many real-world attackers can't: for example, the attacker may need to choose particular plaintexts to be encrypted or even to ask for plaintexts to be encrypted using several keys related to the secret key. Furthermore, it might only reveal a small amount of information, enough to prove the cryptosystem imperfect but too little to be useful to real-world attackers. Finally, an attack might only apply to a weakened version of cryptographic tools, like a reduced-round block cipher, as a step towards breaking the full system.[7]

History

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Cryptanalysis has coevolved together with cryptography, and the contest can be traced through the history of cryptography—new ciphers being designed to replace old broken designs, and new cryptanalytic techniques invented to crack the improved schemes. In practice, they are viewed as two sides of the same coin: secure cryptography requires design against possible cryptanalysis.[citation needed]

Classical ciphers

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First page of Al-Kindi's 9th century Manuscript on Deciphering Cryptographic Messages.

Although the actual word "cryptanalysis" is relatively recent (it was coined by William Friedman in 1920), methods for breaking codes and ciphers are much older. David Kahn notes in The Codebreakers that Arab scholars were the first people to systematically document cryptanalytic methods.[9]

The first known recorded explanation of cryptanalysis was given by Al-Kindi (c. 801–873, also known as "Alkindus" in Europe), a 9th-century Arab polymath,[10][11] in Risalah fi Istikhraj al-Mu'amma (A Manuscript on Deciphering Cryptographic Messages). This treatise contains the first description of the method of frequency analysis.[12] Al-Kindi is thus regarded as the first codebreaker in history.[13] His breakthrough work was influenced by Al-Khalil (717–786), who wrote the Book of Cryptographic Messages, which contains the first use of permutations and combinations to list all possible Arabic words with and without vowels.[14]

Frequency analysis is the basic tool for breaking most classical ciphers. In natural languages, certain letters of the alphabet appear more often than others; in English, "E" is likely to be the most common letter in any sample of plaintext. Similarly, the digraph "TH" is the most likely pair of letters in English, and so on. Frequency analysis relies on a cipher failing to hide these statistics. For example, in a simple substitution cipher (where each letter is simply replaced with another), the most frequent letter in the ciphertext would be a likely candidate for "E". Frequency analysis of such a cipher is therefore relatively easy, provided that the ciphertext is long enough to give a reasonably representative count of the letters of the alphabet that it contains.[15]

Al-Kindi's invention of the frequency analysis technique for breaking monoalphabetic substitution ciphers[16][17] was the most significant cryptanalytic advance until World War II. Al-Kindi's Risalah fi Istikhraj al-Mu'amma described the first cryptanalytic techniques, including some for polyalphabetic ciphers, cipher classification, Arabic phonetics and syntax, and most importantly, gave the first descriptions on frequency analysis.[18] He also covered methods of encipherments, cryptanalysis of certain encipherments, and statistical analysis of letters and letter combinations in Arabic.[19][12] An important contribution of Ibn Adlan (1187–1268) was on sample size for use of frequency analysis.[14]

In Europe, Italian scholar Giambattista della Porta (1535–1615) was the author of a seminal work on cryptanalysis, De Furtivis Literarum Notis.[20]

Successful cryptanalysis has undoubtedly influenced history; the ability to read the presumed-secret thoughts and plans of others can be a decisive advantage. For example, in England in 1587, Mary, Queen of Scots was tried and executed for treason as a result of her involvement in three plots to assassinate Elizabeth I of England. The plans came to light after her coded correspondence with fellow conspirators was deciphered by Thomas Phelippes.

In Europe during the 15th and 16th centuries, the idea of a polyalphabetic substitution cipher was developed, among others by the French diplomat Blaise de Vigenère (1523–96).[21] For some three centuries, the Vigenère cipher, which uses a repeating key to select different encryption alphabets in rotation, was considered to be completely secure (le chiffre indéchiffrable—"the indecipherable cipher"). Nevertheless, Charles Babbage (1791–1871) and later, independently, Friedrich Kasiski (1805–81) succeeded in breaking this cipher.[22] During World War I, inventors in several countries developed rotor cipher machines such as Arthur Scherbius' Enigma, in an attempt to minimise the repetition that had been exploited to break the Vigenère system.[23]

Ciphers from World War I and World War II

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The decrypted Zimmermann Telegram.

In World War I, the breaking of the Zimmermann Telegram was instrumental in bringing the United States into the war. In World War II, the Allies benefitted enormously from their joint success cryptanalysis of the German ciphers – including the Enigma machine and the Lorenz cipher – and Japanese ciphers, particularly 'Purple' and JN-25. 'Ultra' intelligence has been credited with everything between shortening the end of the European war by up to two years, to determining the eventual result. The war in the Pacific was similarly helped by 'Magic' intelligence.[24]

Cryptanalysis of enemy messages played a significant part in the Allied victory in World War II. F. W. Winterbotham, quoted the western Supreme Allied Commander, Dwight D. Eisenhower, at the war's end as describing Ultra intelligence as having been "decisive" to Allied victory.[25] Sir Harry Hinsley, official historian of British Intelligence in World War II, made a similar assessment about Ultra, saying that it shortened the war "by not less than two years and probably by four years"; moreover, he said that in the absence of Ultra, it is uncertain how the war would have ended.[26]

In practice, frequency analysis relies as much on linguistic knowledge as it does on statistics, but as ciphers became more complex, mathematics became more important in cryptanalysis. This change was particularly evident before and during World War II, where efforts to crack Axis ciphers required new levels of mathematical sophistication. Moreover, automation was first applied to cryptanalysis in that era with the Polish Bomba device, the British Bombe, the use of punched card equipment, and in the Colossus computers – the first electronic digital computers to be controlled by a program.[27][28]

Indicator

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With reciprocal machine ciphers such as the Lorenz cipher and the Enigma machine used by Nazi Germany during World War II, each message had its own key. Usually, the transmitting operator informed the receiving operator of this message key by transmitting some plaintext and/or ciphertext before the enciphered message. This is termed the indicator, as it indicates to the receiving operator how to set his machine to decipher the message.[29]

Poorly designed and implemented indicator systems allowed first Polish cryptographers[30] and then the British cryptographers at Bletchley Park[31] to break the Enigma cipher system. Similar poor indicator systems allowed the British to identify depths that led to the diagnosis of the Lorenz SZ40/42 cipher system, and the comprehensive breaking of its messages without the cryptanalysts seeing the cipher machine.[32]

Depth

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Sending two or more messages with the same key is an insecure process. To a cryptanalyst the messages are then said to be "in depth."[33][34] This may be detected by the messages having the same indicator by which the sending operator informs the receiving operator about the key generator initial settings for the message.[35]

Generally, the cryptanalyst may benefit from lining up identical enciphering operations among a set of messages. For example, the Vernam cipher enciphers by bit-for-bit combining plaintext with a long key using the "exclusive or" operator, which is also known as "modulo-2 addition" (symbolized by ⊕ ):

Plaintext ⊕ Key = Ciphertext

Deciphering combines the same key bits with the ciphertext to reconstruct the plaintext:

Ciphertext ⊕ Key = Plaintext

(In modulo-2 arithmetic, addition is the same as subtraction.) When two such ciphertexts are aligned in depth, combining them eliminates the common key, leaving just a combination of the two plaintexts:

Ciphertext1 ⊕ Ciphertext2 = Plaintext1 ⊕ Plaintext2

The individual plaintexts can then be worked out linguistically by trying probable words (or phrases), also known as "cribs," at various locations; a correct guess, when combined with the merged plaintext stream, produces intelligible text from the other plaintext component:

Cyphertext1 ⊕ Cyphertext2 ⊕ Plaintext1 = Plaintext2

The recovered fragment of the second plaintext can often be extended in one or both directions, and the extra characters can be combined with the merged plaintext stream to extend the first plaintext. Working back and forth between the two plaintexts, using the intelligibility criterion to check guesses, the analyst may recover much or all of the original plaintexts. (With only two plaintexts in depth, the analyst may not know which one corresponds to which ciphertext, but in practice this is not a large problem.) When a recovered plaintext is then combined with its ciphertext, the key is revealed:

Plaintext1 ⊕ Ciphertext1 = Key

Knowledge of a key then allows the analyst to read other messages encrypted with the same key, and knowledge of a set of related keys may allow cryptanalysts to diagnose the system used for constructing them.[32]

Development of modern cryptography

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Governments have long recognized the potential benefits of cryptanalysis for intelligence, both military and diplomatic, and established dedicated organizations devoted to breaking the codes and ciphers of other nations, for example, GCHQ and the NSA, organizations which are still very active today.

The Bombe replicated the action of several Enigma machines wired together. Each of the rapidly rotating drums, pictured above in a Bletchley Park museum mockup, simulated the action of an Enigma rotor.

Even though computation was used to great effect in the cryptanalysis of the Lorenz cipher and other systems during World War II, it also made possible new methods of cryptography orders of magnitude more complex than ever before. Taken as a whole, modern cryptography has become much more impervious to cryptanalysis than the pen-and-paper systems of the past, and now seems to have the upper hand against pure cryptanalysis.[citation needed] The historian David Kahn notes:[36]

Many are the cryptosystems offered by the hundreds of commercial vendors today that cannot be broken by any known methods of cryptanalysis. Indeed, in such systems even a chosen plaintext attack, in which a selected plaintext is matched against its ciphertext, cannot yield the key that unlock[s] other messages. In a sense, then, cryptanalysis is dead. But that is not the end of the story. Cryptanalysis may be dead, but there is – to mix my metaphors – more than one way to skin a cat.

Kahn goes on to mention increased opportunities for interception, bugging, side channel attacks, and quantum computers as replacements for the traditional means of cryptanalysis. In 2010, former NSA technical director Brian Snow said that both academic and government cryptographers are "moving very slowly forward in a mature field."[37]

However, any postmortems for cryptanalysis may be premature. While the effectiveness of cryptanalytic methods employed by intelligence agencies remains unknown, many serious attacks against both academic and practical cryptographic primitives have been published in the modern era of computer cryptography:[38]

Thus, while the best modern ciphers may be far more resistant to cryptanalysis than the Enigma, cryptanalysis and the broader field of information security remain quite active.[39]

Symmetric ciphers

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Asymmetric ciphers

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Asymmetric cryptography (or public-key cryptography) is cryptography that relies on using two (mathematically related) keys; one private, and one public. Such ciphers invariably rely on "hard" mathematical problems as the basis of their security, so an obvious point of attack is to develop methods for solving the problem. The security of two-key cryptography depends on mathematical questions in a way that single-key cryptography generally does not, and conversely links cryptanalysis to wider mathematical research in a new way.[40]

Asymmetric schemes are designed around the (conjectured) difficulty of solving various mathematical problems. If an improved algorithm can be found to solve the problem, then the system is weakened. For example, the security of the Diffie–Hellman key exchange scheme depends on the difficulty of calculating the discrete logarithm. In 1983, Don Coppersmith found a faster way to find discrete logarithms (in certain groups), and thereby requiring cryptographers to use larger groups (or different types of groups). RSA's security depends (in part) upon the difficulty of integer factorization – a breakthrough in factoring would impact the security of RSA.[41]

In 1980, one could factor a difficult 50-digit number at an expense of 1012 elementary computer operations. By 1984 the state of the art in factoring algorithms had advanced to a point where a 75-digit number could be factored in 1012 operations. Advances in computing technology also meant that the operations could be performed much faster. Moore's law predicts that computer speeds will continue to increase. Factoring techniques may continue to do so as well, but will most likely depend on mathematical insight and creativity, neither of which has ever been successfully predictable. 150-digit numbers of the kind once used in RSA have been factored. The effort was greater than above, but was not unreasonable on fast modern computers. By the start of the 21st century, 150-digit numbers were no longer considered a large enough key size for RSA. Numbers with several hundred digits were still considered too hard to factor in 2005, though methods will probably continue to improve over time, requiring key size to keep pace or other methods such as elliptic curve cryptography to be used.[citation needed]

Another distinguishing feature of asymmetric schemes is that, unlike attacks on symmetric cryptosystems, any cryptanalysis has the opportunity to make use of knowledge gained from the public key.[42]

Attacking cryptographic hash systems

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Side-channel attacks

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Quantum computing applications for cryptanalysis

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Quantum computers, which are still in the early phases of research, have potential use in cryptanalysis. For example, Shor's Algorithm could factor large numbers in polynomial time, in effect breaking some commonly used forms of public-key encryption.[43]

By using Grover's algorithm on a quantum computer, brute-force key search can be made quadratically faster. However, this could be countered by doubling the key length.[44]

See also

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Historic cryptanalysts

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Cryptanalysis is the study of mathematical techniques for defeating cryptographic systems and information security measures, including the identification of errors, vulnerabilities, or weaknesses that allow recovery of plaintext from ciphertext without knowledge of the encryption key. Historically, the discipline advanced from rudimentary manual methods to systematic approaches, with the earliest known description of frequency analysis—a technique exploiting letter occurrence probabilities in languages—attributed to the 9th-century Arab polymath Al-Kindi, who outlined procedures for breaking monoalphabetic substitution ciphers. A defining achievement came during World War II, when British cryptanalysts, including Alan Turing, exploited structural flaws in the German Enigma rotor machine to decrypt military communications, employing innovations like the electromechanical Bombe device to test key settings efficiently and contributing to Allied intelligence successes that shortened the conflict. In contemporary applications, cryptanalysis rigorously tests modern ciphers through methods such as differential and linear analysis, as demonstrated in attacks on the Data Encryption Standard (DES), thereby driving improvements in cryptographic standards to withstand computational and mathematical assaults.

Fundamentals of Cryptanalysis

Definition and Objectives

Cryptanalysis is the study of mathematical techniques aimed at defeating cryptographic systems or information security measures, typically by recovering plaintext from ciphertext or deriving encryption keys without authorized access. This discipline focuses on exploiting structural weaknesses, implementation flaws, or probabilistic patterns in ciphers, distinguishing it from brute-force exhaustive search by emphasizing analytical methods that reduce computational complexity. Key objectives encompass both offensive and defensive applications: adversaries seek to breach confidentiality by decrypting protected data, while cryptographers use cryptanalytic results to evaluate and fortify algorithm designs against foreseeable attacks. The primary goal in adversarial cryptanalysis is to undermine encryption integrity, enabling unauthorized access to in-transit or stored data through methods such as frequency analysis for classical substitution ciphers or differential analysis for modern block ciphers. Defensively, objectives include quantifying security margins—such as resistance to specific attack complexities measured in operations or time—and informing standards like those from NIST, where cryptanalysis validates primitives before deployment. For instance, successful cryptanalysis has historically exposed vulnerabilities in systems like DES, prompting transitions to stronger alternatives like AES after evaluating key recovery feasibility under realistic resource constraints. Beyond mere breaking, cryptanalysis objectives extend to broader system resilience, incorporating side-channel evaluations (e.g., timing or power analysis) and protocol-level scrutiny to prevent cascading failures in real-world deployments. This dual-edged nature underscores its role in advancing cryptographic science, where empirical testing against known attacks ensures that security claims withstand rigorous, evidence-based challenges rather than unverified assumptions.

Adversarial Models

In cryptanalysis, adversarial models formalize the capabilities, knowledge, and resources attributed to an attacker attempting to compromise a cryptographic system, enabling systematic security assessments. These models assume, per Kerckhoffs' principle—enunciated by Auguste Kerckhoffs in his 1883 pamphlet La Cryptographie Militaire—that the adversary knows the full details of the algorithm, protocol, and implementation, with security hinging exclusively on key secrecy. This principle underpins modern evaluations by isolating key-dependent strength from design obscurity, countering earlier security-by-obscurity approaches that failed against informed adversaries. Adversarial models are stratified by access levels to plaintexts, ciphertexts, and oracles, progressing from passive eavesdropping to active manipulation. Passive models limit the attacker to observation, while active models permit interaction, reflecting escalating threats in real-world deployments such as intercepted communications versus compromised endpoints. Computational assumptions typically bound the adversary to feasible resources, often polynomial-time algorithms relative to a security parameter n (e.g., key length in bits), as exhaustive search becomes impractical beyond certain thresholds; for instance, brute-forcing a 128-bit key requires approximately 2^128 operations, exceeding global computing capacity as of 2023 estimates. Key classifications include:
  • Ciphertext-only attack (COA): The attacker possesses solely ciphertext samples, relying on inherent statistical biases or patterns in the output for key recovery or plaintext inference; historical examples include frequency analysis on monoalphabetic ciphers, effective due to non-uniform letter distributions in natural languages.
  • Known-plaintext attack (KPA): Access to specific plaintext-ciphertext pairs allows exploitation of linear or differential correlations; for example, Enigma cryptanalysis during World War II leveraged known message headers ("Wetterbericht") to map rotor settings.
  • Chosen-plaintext attack (CPA): The adversary queries an encryption oracle with selected plaintexts to generate ciphertexts, probing structural weaknesses like adaptive inputs revealing key bits; this models scenarios such as malware encrypting chosen data on a target device.
  • Chosen-ciphertext attack (CCA): Extending CPA, the attacker accesses a decryption oracle for chosen ciphertexts (excluding the target in CCA2 variants), simulating tampering or malleability exploits; Padding Oracle attacks on CBC-mode implementations, disclosed in 2002 by Serge Vaudenay, demonstrated practical CCA vulnerabilities yielding full plaintext recovery.
These models inform provable security reductions, where resistance to stronger attacks (e.g., CCA) implies resilience to weaker ones, though empirical cryptanalysis often tests boundaries via side-channel extensions like timing or power analysis, assuming bounded but resourceful adversaries.

Evaluation Criteria

The effectiveness of a cryptanalytic attack is evaluated based on its computational feasibility, typically quantified through time complexity, which measures the number of basic operations (such as encryptions or table lookups) required to execute the attack. Space or memory complexity assesses the amount of storage needed, often expressed as the number of bits or blocks, as high memory demands can render an attack impractical even if time-efficient. Data complexity evaluates the volume of known plaintext-ciphertext pairs or other oracle queries necessary, with lower requirements indicating a more efficient attack under resource-constrained scenarios. Success probability quantifies the likelihood of recovering the key or distinguishing the cipher from random, particularly for probabilistic methods like differential or linear cryptanalysis, where analytical formulas derive expected success rates from statistical biases. Attacks are further contextualized by the adversarial model, such as ciphertext-only (least advantageous) versus chosen-plaintext access, with evaluations requiring the attack to outperform exhaustive search (e.g., exceeding 2^{128} operations for 128-bit security). Comprehensive assessment often compares these metrics against benchmarks like NIST security levels, where breaking a scheme must demand resources equivalent to or exceeding targeted computational bounds, such as 2^{112} operations for moderate security. Key recovery remains the gold standard for success, as partial breaks (e.g., message recovery without the full key) may not compromise long-term secrecy, though distinguishing attacks serve as precursors indicating underlying weaknesses. Trade-offs between time, space, and data are inherent; for instance, time-memory trade-off attacks reduce runtime at the cost of preprocessing storage, evaluated via equations balancing these factors against brute-force baselines. Rigorous evaluation demands empirical validation through simulations or hardware implementations to confirm theoretical complexities under real-world constraints.

Historical Evolution

Ancient and Classical Periods

In ancient civilizations, rudimentary cryptography appeared as early as 1900 BC in Egypt, where non-standard hieroglyphs were used on tomb inscriptions to obscure text from the uninitiated, potentially requiring interpretive analysis by scribes to decipher deviations from standard forms. Similar protocryptographic practices existed in Mesopotamian cuneiform tablets around 1500 BC, hiding recipes or messages beneath altered scripts, which could be resolved through contextual linguistic knowledge or trial comparison with known writings rather than formal methods. These early systems lacked complexity, making "cryptanalysis" effectively a matter of scholarly familiarity or physical access to references, with no surviving records of systematic breaking techniques. By the classical Greek period, military cryptography advanced with the Spartan scytale around 400 BC, a transposition device wrapping a message strip around a baton of specific diameter to scramble text, which could only be reordered correctly using a matching baton—thus, interception without the physical tool rendered it challenging, though brute-force unwrapping trials or measurement estimation might succeed against short messages. Aeneas Tacticus, circa 350 BC, authored the earliest known treatise on securing communications in On the Defense of Fortifications, detailing encoding methods like hidden inks and signal variations to evade interception, reflecting awareness of adversarial eavesdropping but emphasizing prevention over analytical decryption. Polybius (c. 150 BC) described a grid-based substitution system pairing letters into numeric coordinates, vulnerable to pattern recognition in sufficient volume, yet no contemporary accounts document its cryptanalytic exploitation. Roman adoption included the Caesar cipher around 50 BC, a monoalphabetic shift of three letters (e.g., A to D), employed for military orders, which remained susceptible to exhaustive trial of the 25 possible shifts or rudimentary frequency matching against Latin letter distributions—methods feasible even without formal tools, though historical evidence points to reliance on captured couriers or betrayed keys rather than mathematical deduction. Emperor Augustus modified it to a one-letter shift, offering marginal improvement but identical weaknesses. Overall, classical cryptanalysis remained ad hoc, constrained by cipher simplicity and absence of voluminous ciphertext, prioritizing human intelligence over algorithmic approaches until later eras.

World Wars and Early 20th Century

British naval intelligence established Room 40 in August 1914 to analyze intercepted German wireless messages, achieving early successes in decrypting naval codes using recovered codebooks from sunken ships and mathematical reconstruction. By January 1917, Room 40 cryptanalysts decrypted the Zimmermann Telegram, a message sent on January 16 from German Foreign Secretary Arthur Zimmermann to the Mexican government via the German ambassador in Washington, proposing a military alliance against the United States in exchange for territory lost in the Mexican-American War. The decryption relied on prior breaks into German diplomatic codes, and its public release on March 1, 1917, through American channels to conceal British interception methods, contributed to the U.S. declaration of war on Germany on April 6, 1917. In the interwar period, Polish cryptanalysts at the Cipher Bureau targeted the German Enigma machine, adopted by the military in 1928. Mathematician Marian Rejewski, recruited in 1932, exploited known-plaintext attacks and permutation group theory to recover the internal wiring of Enigma rotors by December 1932, enabling periodic recovery of daily keys despite the machine's estimated 10^16 possibilities. Rejewski, with Jerzy Różycki and Henryk Zygalski, developed electromechanical aids like the Bomba (1938) for key search and perforated sheets for crib-based attacks, though Enigma modifications in 1937 and 1938 increased difficulty. On July 25, 1939, the Poles shared their methods, replica Enigma, and Bombe design with British and French intelligence at a meeting in Warsaw's Pyry forest, providing crucial foundational knowledge as war approached. During World War II, the Government Code and Cypher School (GC&CS) relocated to Bletchley Park in 1939, where Hut 8 under Alan Turing adapted Polish techniques to break naval Enigma variants, incorporating a plugboard that multiplied settings to about 10^23. Turing designed the British Bombe, an electromechanical device simulating multiple Enigmas to test rotor orders and plugboard settings via "cribs" (guessed plaintext), with the first unit operational in March 1940 and breaking keys for April 22–27 traffic. By late 1941, American-built Bombes supplemented British production, reaching 211 machines by war's end, enabling daily decryption of Enigma traffic that yielded Ultra intelligence, estimated to have shortened the European war by two to four years. Parallel efforts targeted the Lorenz SZ40/42 cipher used for high-level German army commands; cryptanalyst William Tutte deduced its 12-wheel structure from a 1942 depth error in August 1942, leading engineer Tommy Flowers to build Colossus, the first programmable electronic computer, operational on December 5, 1943 (Mark I by January 1944), which processed 5,000 characters per second to set wheel starts and predict chi wheels. American cryptanalysts in the Signal Intelligence Service independently broke Japan's Type B Cipher Machine (U.S. codenamed Purple), a stepping-switch system introduced in 1939 for diplomatic traffic, achieving initial recovery of settings by August 1940 through Leo Marks and others' analysis of non-rotor correlations, producing Magic decrypts that informed U.S. policy but failed to predict Pearl Harbor due to incomplete naval code breaks. These wartime cryptanalytic advances demonstrated the shift toward machine-assisted methods, leveraging mathematics, captured materials, and intercepted traffic to exploit systematic weaknesses in rotor and additive ciphers, fundamentally altering intelligence dynamics.

Post-WWII to Digital Transition

The establishment of the (NSA) in 1952 by President consolidated U.S. cryptologic efforts, merging and units to address threats from Soviet systems. This reorganization emphasized , as post-war cryptanalysts adapted vacuum-tube computers for tasks previously reliant on manual or electromechanical methods, enabling faster of high-volume intercepted . Claude Shannon's 1949 paper, "Communication Theory of Secrecy Systems," applied information theory to cryptography, defining perfect secrecy as achievable only when ciphertext provides no more information than plaintext under known-plaintext assumptions, and introducing unicity distance as the minimum redundant text needed to uniquely determine a key. These metrics shifted cryptanalysis from ad-hoc frequency analysis to probabilistic evaluations of redundancy and entropy, influencing designs resistant to statistical attacks. By the mid-1950s, NSA cryptanalysts deployed custom electronic computers, such as those derived from wartime Colossus derivatives, for algebraic and statistical attacks on teletype ciphers, marking the transition from punched-card sorters to programmable digital logic. The saw further with transistor-based systems, allowing exhaustive searches on short keys and in polyalphabetic substitutions, though classified until declassifications decades later. The 1970s brought cryptography into commercial domains with the National Bureau of Standards' (NBS) selection of the Data Encryption Standard (DES) in 1977, an IBM-modified block cipher using a 56-bit effective key for 64-bit blocks. Early cryptanalytic concerns centered on brute-force feasibility; Diffie and Hellman in 1977 argued that dedicated hardware could exhaust the 2^56 keyspace within 1.5 years at $10 million cost, highlighting how Moore's Law amplified digital threats to fixed-key systems. This era's techniques, including meet-in-the-middle attacks reducing DES exhaustive search to 2^57 operations by 1981, underscored the digital transition's core challenge: computational scalability over manual ingenuity.

Techniques for Symmetric-Key Systems

Block Cipher Cryptanalysis

Block cipher cryptanalysis focuses on identifying weaknesses in symmetric-key algorithms that process fixed-size data blocks, such as the Data Encryption Standard (DES) or Advanced Encryption Standard (AES), typically structured as iterated rounds of substitution-permutation networks or Feistel constructions. These attacks aim to recover the secret key, forge ciphertexts, or distinguish the cipher's output from a random permutation using resources fewer than exhaustive search, often exploiting statistical biases in the round functions or key schedule. Success depends on the cipher's diffusion and confusion properties, with modern designs like AES resisting full-round breaks but vulnerable in reduced-round variants. Differential cryptanalysis, introduced by Eli Biham and Adi Shamir in 1990, analyzes pairs of plaintexts differing in specific bits to propagate predictable differences through rounds, estimating the probability of output differences to deduce key bits. Applied to DES, it breaks up to 15 of 16 rounds with 2^47 chosen plaintexts, though full DES requires more due to meet-in-the-middle optimizations; it also compromised early ciphers like FEAL and IDEA variants. Truncated variants extend this by ignoring some difference bits, improving applicability to SPN structures. Linear cryptanalysis, developed by Mitsuru Matsui in 1993, approximates nonlinear operations with linear equations over GF(2), seeking high-bias relations where plaintext bits XORed with ciphertext bits approximate key bits XORed with intermediate values. For DES, Matsui's attack on the full 16 rounds uses 2^43 known plaintexts and 2^43 time, leveraging the best approximation with bias 2^{-15}; it was experimentally verified in 1994. Extensions include partitioning linear approximations for better coverage in multi-round ciphers. Integral cryptanalysis, proposed by Lars Knudsen and David Wagner in 1999, propagates integral properties over sets of plaintexts where subsets sum to zero modulo 2 (or other values), exploiting byte-wise bijectivity in ciphers like Square. It distinguishes 3 rounds of Square with 2^18 chosen plaintexts and extends to key recovery on 6 rounds; applied to AES precursors, it reveals weaknesses in incomplete diffusion rounds. Bit-based division properties refine integral distinguishers for lightweight ciphers. Impossible differential cryptanalysis, an extension of differential methods from 1998 onward, identifies differentials with provable probability zero across rounds, using them to filter incorrect key candidates via contradiction in partial decryption. It breaks 5 rounds of Skipjack with 2^21 chosen plaintexts and 2^30 time, and reduced-round AES (e.g., 7 rounds) with complexities around 2^100; generalized variants incorporate multiple impossible paths for tighter bounds. Other techniques include attacks, combining two short differentials for amplified probability without full , effective on AES-like ciphers up to 7 rounds with 2^39 ; and algebraic attacks modeling rounds as systems solvable via Gröbner bases, though computationally intensive for full keys. Key-schedule weaknesses enable related-key attacks, as in reduced-round AES-192/256 with 2^99.1 time. These methods underscore the need for wide-trail designs and provable security margins in block ciphers.

Stream Cipher Cryptanalysis

Stream ciphers generate a pseudorandom keystream that is combined with plaintext via bitwise XOR to produce ciphertext, making cryptanalysis primarily target weaknesses in the keystream generator for key recovery, distinguishing the output from true randomness, or predicting future bits. Common generators include linear feedback shift registers (LFSRs) combined nonlinearly, permutation-based designs like RC4, or word-oriented feedback shift registers in modern proposals. Attacks exploit statistical biases, linear approximations, or algebraic structures, with success depending on the generator's nonlinearity, feedback polynomial degree, and internal state size. Correlation attacks, introduced by Siegenthaler in 1985, target LFSR-based stream ciphers by identifying linear approximations between the keystream and individual LFSR outputs with correlation probability greater than 0.5, allowing recovery of LFSR initial states via maximum likelihood decoding. Fast variants, such as those using fast Walsh-Hadamard transforms, reduce complexity from exponential in the number of approximations to quadratic, enabling attacks on ciphers with multiple short LFSRs combined by a nonlinear filter. Higher-order correlations extend this to multivariate approximations, improving efficiency against ciphers like nonlinear filter generators. Algebraic attacks model the stream cipher as a system of multivariate quadratic equations over GF(2), derived from keystream bits and the generator's update function, solvable via Gröbner bases or linearization for low-degree nonlinearities. These are particularly effective against filter-based LFSRs with algebraic degree less than the linear span, as demonstrated in attacks recovering keys from observed keystream segments. Cube attacks, a variant targeting black-box access, enumerate low-degree cubes of input variables to compute approximations, breaking reduced-round versions of Grain and Trivium with complexities around 2^40 operations in some cases. Distinguishing and key-recovery attacks often leverage initial keystream biases or resynchronization weaknesses. For RC4, Fluhrer, Mantin, and Shamir identified in 2001 that certain key bytes produce non-uniform initial outputs, enabling related-key attacks recovering WEP keys with 2^15 computations from 802.11 packets. A5/1, used in GSM since 1991, succumbed to correlation attacks by Biryukov et al. in 2000 (2^40 time precomputation) and time-memory-data tradeoff attacks by Maximov et al. in 2005 (2^48.6 operations real-time), allowing practical decryption with rainbow tables. eSTREAM finalists like Trivium and Grain resist full-round practical attacks but face distinguishing attacks on reduced rounds, with Trivium vulnerable to SAT-solver-based key recovery in 2007 for 767 rounds (out of 1152) at 2^84 complexity. Time-memory-data tradeoff (TMDTO) attacks, applicable to memory-bound ciphers, store precomputed state transitions to accelerate online key searches, limiting security to roughly half the internal state bits for designs like A5/1 or early Grain versions. Side-channel aware cryptanalysis, though distinct, complements these by exploiting implementation leaks, but pure mathematical breaks emphasize generator design flaws like insufficient nonlinearity or predictable IV handling. Modern stream ciphers, such as ChaCha20 adopted in TLS 1.3 since 2018, incorporate larger states and ARX operations to mitigate known techniques, though ongoing research targets potential higher-order biases.

Public-Key Cryptanalysis

Attacks on RSA and Factoring

The RSA cryptosystem's security fundamentally depends on the computational difficulty of factoring the public modulus n=p×qn = p \times q, where pp and qq are large, distinct primes of comparable size. Factoring nn allows recovery of the private exponent dd, enabling decryption of all ciphertexts encrypted with the corresponding public exponent ee. While no polynomial-time classical algorithm exists for general integer factorization, subexponential-time methods have progressively threatened smaller RSA keys, with the general number field sieve (GNFS) representing the state-of-the-art for large semiprimes. GNFS exploits algebraic number theory to find relations among smooth numbers in sieved factor bases, achieving complexity roughly Ln[1.923,c]L_n[1.923, c] where Ln[a,c]=ec(lnn)a(lnlnn)1aL_n[a, c] = e^{c (\ln n)^a (\ln \ln n)^{1-a}} and c1.9c \approx 1.9 for optimal parameters. Historical factoring milestones GNFS's : RSA-129 (426 bits) was factored in 1994 using a coordinated via the , while RSA-768 (768 bits, 232 digits) fell to GNFS in December 2009 after approximately 2,000 CPU-years of across distributed systems. More recently, RSA-240 (795 bits) was factored in November 2019 using optimized GNFS implementations, highlighting ongoing refinements in polynomial selection and sieving despite no asymptotic breakthroughs. Earlier algorithms like Pollard's rho (expected O(p)O(\sqrt{p})
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