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Mathematical Problems in Engineering
Article . 2014 . Peer-reviewed
License: CC BY
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Mathematical Problems in Engineering
Article
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Article . 2014
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Two Improved Multiple‐Differential Collision Attacks

Two improved multiple-differential collision attacks
Authors: An Wang; Liji Wu; Zongyue Wang; Xuexin Zheng; Man Chen; Jing Ma;

Two Improved Multiple‐Differential Collision Attacks

Abstract

In CHES 2008, Bogdanov proposed multiple‐differential collision attacks which could be applied to the power analysis attacks on practical cryptographic systems. However, due to the effect of countermeasures on FPGA, there are some difficulties during the collision detection, such as local high noise and the lack of sampling points. In this paper, keypoints voting test is proposed for solving these problems, which can increase the success ratio from 35% to 95% on the example of one implementation. Furthermore, we improve the ternary voting test of Bogdanov, which can improve the experiment efficiency markedly. Our experiments show that the number of power traces required in our attack is only a quarter of the requirement of traditional attack. Finally, some alternative countermeasures against our attacks are discussed.

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Keywords

Cryptography

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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!
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