Description
In joint work with Koen de Boer, Aurel Page, and Benjamin Wesolowski, we study the hardness of the approximate Shortest Independent Vectors Problem (SIVP) for random module lattices. We use here a natural notion of randomness as defined originally by Siegel through Haar measures. By proving a reduction, we show it is essentially as hard as the problem for arbitrary instances. While this was previously known for ideal lattices (those of rank 1), it is the first such result in higher rank. I will give an overview of the reduction and discuss some of the challenges. The work involves deep number theoretic techniques and results, such as the equidistribution of Hecke points, which we study using the spectral theory of automorphic forms. This talk should be accessible to both cryptographers as well as number theorists.
Next sessions
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Cryptanalysis of full BEANIE
Speaker : Xavier Bonnetain - Inria
BEANIE is a tweakable block cipher recently published at ToSC aiming for memory encryption of microcontroller units. In line with this goal, it handles small plaintexts of only 32 bits and has a low latency. In this paper, we propose the first third-party analysis of the two variants of BEANIE. By carefully leveraging structural properties of the cipher and taking advantage of its distinctive[…]-
Cryptography
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Symmetrical primitive
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