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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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An overview of side channel analysis attacks

Authors: Thanh-Ha Le; Jessy Clédière; Cécile Canovas;

An overview of side channel analysis attacks

Abstract

During the last ten years, power analysis attacks have been widely developed under many forms. They analyze the relation between the power consumption or electromagnetic radiation of a cryptographic device and the handled data during cryptographic operations. The goal of this paper is to give a global view of statistical attacks based on side channel analysis. These techniques are classified into two classes: attacks without reference device (e.g. Differential Power Analysis, Correlation Power Analysis) and attacks using a reference device (e.g. Template Attack, Stochastic Model Attack). In this paper, we present the attacks with an easy comprehensible way and focus on their implementation aspect. The pros and cons of each attack is highlighted in details with concrete electromagnetic signals. At least, our paper proposes also some solutions to enhance the existing attacks.

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citations
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!
50
Top 10%
Top 10%
Top 10%
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