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The Goldreich–Goldwasser–Halevi (GGH) cryptosystem makes use of the fact that the closest vector problem can be a hard problem. This system was published in 1997 by Oded Goldreich, Shafi Goldwasser, and Shai Halevi, and uses a trapdoor one-way function which relies on the difficulty of lattice reduction. The idea included in this trapdoor function is that, given any basis for a lattice, it is easy to generate a vector which is close to a lattice point, for example taking a lattice point and adding a small error vector. But to return from this erroneous vector to the original lattice point a special basis is needed.
In 1999, Nguyen [1] showed that the GGH encryption scheme has a flaw in the design. He showed that every ciphertext reveals information about the plaintext and that the problem of decryption could be turned into a special closest vector problem much easier to solve than the general CVP.
TheGaBr0/GGH – A Python implementation of the GGH cryptosystem and its optimized variant GGH-HNF.[2] The library includes key generation, encryption, decryption, basic lattice reduction techniques, and demonstrations of known attacks. It is intended for educational and research purposes and is available via PyPI.
Goldreich, Oded; Goldwasser, Shafi; Halevi, Shai (1997). "Public-key cryptosystems from lattice reduction problems". CRYPTO '97: Proceedings of the 17th Annual International Cryptology Conference on Advances in Cryptology. London: Springer-Verlag. pp. 112–131.
Micciancio, Daniele (2001). "Improving Lattice Based Cryptosystems Using the Hermite Normal Form". Cryptography and Lattices. Lecture Notes in Computer Science. Vol. 2146. Springer. pp. 126–145. doi:10.1007/3-540-44670-2_11.