A hierarchy of polynomial time lattice basis reduction algorithms
Theoretical Computer Science
A course in computational algebraic number theory
A course in computational algebraic number theory
NSS: An NTRU Lattice-Based Signature Scheme
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Cryptanalysis of the Revised NTRU Signature Scheme
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Basis Reduction Algorithms and Subset Sum Problems
Basis Reduction Algorithms and Subset Sum Problems
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Transactions on computational science X
A non-associative lattice-based public key cryptosystem
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First-order collision attack on protected NTRU cryptosystem
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NTRU is a very efficient public-key cryptosystem based on polynomial arithmetic. Its security is related to the hardness of lattice problems in a very special class of lattices. This article is motivated by an interesting peculiar property of NTRU lattices. Namely, we show that NTRU lattices are proportional to the so-called symplectic lattices. This suggests to try to adapt the classical reduction theory to symplectic lattices, from both a mathematical and an algorithmic point of view. As a first step, we show that orthogonalization techniques (Cholesky, Gram-Schmidt, QR factorization, etc.) which are at the heart of all reduction algorithms known, are all compatible with symplecticity, and that they can be significantly sped up for symplectic matrices. Surprisingly, by doing so, we also discover a new integer Gram-Schmidt algorithm, which is faster than the usual algorithm for all matrices. Finally, we study symplectic variants of the celebrated LLL reduction algorithm, and obtain interesting speed ups.