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Part of book or chapter of book . 2020 . Peer-reviewed
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Optimal Collision Side-Channel Attacks

Authors: Cezary Glowacz; Vincent Grosso;

Optimal Collision Side-Channel Attacks

Abstract

Collision side-channel attacks are effective attacks against cryptographic implementations, however, optimality and efficiency of collision side-channel attacks is an open question. In this paper, we show that collision side-channel attacks can be derived using maximum likelihood principle when the distribution of the values of the leakage function is known. This allows us to exhibit the optimal collision side-channel attack and its efficient computation. Finally, we can compute an upper bound for the success rate of the optimal post-processing strategy, and we show that our method and the optimal strategy have success rates close to each other. Attackers can benefit from our method as we present an efficient collision side-channel attack. Evaluators can benefit from our method as we present a tight upper bound for the success rate of the optimal strategy.

  • BIP!
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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average