Inter-class vs. mutual information as side-channel distinguishers

Olivier Rioul, Annelie Heuser, Sylvain Guilley, Jean Luc Danger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel 'interclass information' side-channel distinguisher is compared to mutual information analysis. Interclass information possesses properties similar to mutual information but uses a different comparing strategy between the underlying conditional distributions. It is shown that interclass information can outperform mutual information in side-channel analysis, especially under low noise. The theoretical comparison is confirmed by simulations.

Original languageEnglish
Title of host publicationProceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages805-809
Number of pages5
ISBN (Electronic)9781509018062
DOIs
Publication statusPublished - 10 Aug 2016
Externally publishedYes
Event2016 IEEE International Symposium on Information Theory, ISIT 2016 - Barcelona, Spain
Duration: 10 Jul 201615 Jul 2016

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2016-August
ISSN (Print)2157-8095

Conference

Conference2016 IEEE International Symposium on Information Theory, ISIT 2016
Country/TerritorySpain
CityBarcelona
Period10/07/1615/07/16

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