Description
The Polynomial Modular Number System (PMNS) is an integer number system which aims to speed up arithmetic operations modulo a prime p. Such a system is defined by a tuple (p, n, g, r, E), where p, n, g and r are positive integers, E is a monic polynomial with integer coefficients, having g as a root modulo p. Most of the work done on PMNS focus on polynomials E such that E(X) = X^n – l, where l is a nonzero integer, because such a polynomial provides efficiency and low memory cost, in particular for l = 2 or -2.<br/> It however appeared that these are not always the best choices. In this presentation, we first start with the necessary background on PMNS. Then, we highlight a new set of polynomials E for very efficient operations in the PMNS and low memory requirement, along with new bounds and parameters. We show that these polynomials are more interesting than (most) polynomials E(X)=X^n – l. To finish, we see how to use PMNS to randomise arithmetic operations in order to randomise high level operations like elliptic curve scalar multiplication, to protect implementations against some advanced side channel attacks like differential power analysis (DPA).<br/> Joint work with Jean-Marc Robert and Pascal Véron<br/> lien: https://seminaire-c2.inria.fr/
Prochains exposés
-
Verification of Rust Cryptographic Implementations with Aeneas
Orateur : Aymeric Fromherz - Inria
From secure communications to online banking, cryptography is the cornerstone of most modern secure applications. Unfortunately, cryptographic design and implementation is notoriously error-prone, with a long history of design flaws, implementation bugs, and high-profile attacks. To address this issue, several projects proposed the use of formal verification techniques to statically ensure the[…] -
On the average hardness of SIVP for module lattices of fixed rank
Orateur : Radu Toma - Sorbonne Université
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[…] -
Endomorphisms via Splittings
Orateur : Min-Yi Shen - No Affiliation
One of the fundamental hardness assumptions underlying isogeny-based cryptography is the problem of finding a non-trivial endomorphism of a given supersingular elliptic curve. In this talk, we show that the problem is related to the problem of finding a splitting of a principally polarised superspecial abelian surface. In particular, we provide formal security reductions and a proof-of-concept[…]-
Cryptography
-