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Improved Combinatorial Algorithms for the Inhomogeneous Short Integer Solution Problem
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Abstract: | The paper is about algorithms for the inhomogeneous short integer solution problem: given $$(\mathbf A , \mathbf s )$$ ( A , s ) to find a short vector $$\mathbf{x }$$ x such that $$\mathbf A \mathbf{x }\equiv \mathbf s \pmod {q}$$ A x ≡ s ( mod q ) . We consider algorithms for this problem due to Camion and Patarin; Wagner; Schroeppel and Shamir; Minder and Sinclair; Howgrave–Graham and Joux (HGJ); Becker, Coron and Joux (BCJ). Our main results include: applying the Hermite normal form (HNF) to get faster algorithms; a heuristic analysis of the HGJ and BCJ algorithms in the case of density greater than one; an improved cryptanalysis of the SWIFFT hash function; a new method that exploits symmetries to speed up algorithms for Ring-SIS in some cases. |
BibTeX
@article{jofc-2019-30149, title={Improved Combinatorial Algorithms for the Inhomogeneous Short Integer Solution Problem}, journal={Journal of Cryptology}, publisher={Springer}, volume={32}, pages={35-83}, doi={10.1007/s00145-018-9304-1}, author={Shi Bai and Steven D. Galbraith and Liangze Li and Daniel Sheffield}, year=2019 }