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To determine the dimension of null space of any given linearized polynomial is one of vital problems in finite field theory, with concern to design of modern symmetric cryptosystems. But, the known ge...
The lattice basis reduction algorithm is a method for solving the Shortest Vector Problem (SVP) on lattices. There are many variants of the lattice basis reduction algorithm such as LLL, BKZ, and RSR....
Rank estimation is an important tool for a side-channel evaluations laboratories. It allows estimating the remaining security after an attack has been performed, quantified as the time complexity and ...
Ring oscillator-based true random number generators (RO-based TRNGs) are widely used to provide unpredictable random numbers for cryptographic systems. The unpredictability of the output numbers, whic...
These estimations are particularly useful where the key is not reachable with exhaustive search. We propose a new method called PRank for rank estimation, that is conceptually simple, and more time an...
Discrete Gaussian Sampling is a fundamental tool in lattice cryptography which has been used in digital signatures, identify-based encryption, attribute-based encryption, zero-knowledge proof and full...
Evaluation of security margins after a side-channel attack is an important step of side-channel resistance evaluation. The security margin indicates the brute force effort needed to recover the key gi...
Several access control systems are based on the users’ physical location/proximity to the access point. Distance- Bounding (DB) protocols constitute a classical solution to calculate the distance betw...
We revisit the problem of estimating entropy of discrete distributions from independent samples, studied recently by Acharya, Orlitsky, Suresh and Tyagi (SODA 2015), improving their upper and lower bo...
Lattice-based cryptography is a promising candidate to build cryptographic primitives that are secure against quantum algorithms. The Learning with Errors problem is one of the most important hardness...
Improved Estimation of Collision Entropy in High and Low-Entropy Regimes and Applications to Anomaly Detection.
The accuracy and the fast convergence of a leakage model are both essential components for the efficiency of side-channel analysis. Thus for efficient leakage estimation an evaluator is requested to p...
The main contribution of this paper, is a new key enumeration algorithm that combines the conceptual simplicity of the rank estimation algorithm of Glowacz et al. (from FSE 2015) and the parallelizabi...
Quantifying the side channel security of implementations has been a significant research question for several years in academia but also among real world side channel practitioners. As part of securit...
In this paper, we investigate a variant of the BKZ algorithm, called progressive BKZ, which performs BKZ reductions by starting with a small blocksize and gradually switching to larger blocks as the...

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