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Title:
More Efficient Key Ranking for Optimal Collision Side-Channel Attacks
Authors: Cezary Glowacz
Abstract:In [2] we studied collision side-channel attacks, and derived an optimal distinguisher for key ranking. In this note we propose a heuristic estimation procedure for key ranking based on this distinguisher, and provide estimates of lower bounds for secret key ranks in collision side-channel attacks. The procedure employs nonuniform sampling introduced in [1], and it is more efficient than the subset uniform sampling procedure [3].
[1] MCRank: Monte Carlo Key Rank Estimation for Side-Channel Security Evaluations.
[2] Optimal Collision Side-Channel Attacks.
[3] A Note on Key Ranking for Optimal Collision Side-Channel Attacks.
ePrint: https://eprint.iacr.org/2022/1780
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