Electromagnetic analysis enhancement with signal processing techniques (poster)

Hongying Liu, Yukiyasu Tsunoo, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents ongoing work toward Electromagnetic Analysis (EMA) with signal processing techniques. Electromagnetic emission leaks confidential data of cryptographic devices. EMA exploits such information and reveals secret keys. It has been actively studied. We present three signal processing techniques: bandpass filtering, signal companding and independent component analysis (ICA), and apply them to EMA. The effectiveness is demonstrated through the analyses of encryption algorithms on synthesized application-specific integrated circuit (ASIC). Experiments show that the performance of EMA is greatly enhanced. The number of signals needed to reveal keys has been dramatically reduced.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages456-461
Number of pages6
Volume6812 LNCS
DOIs
Publication statusPublished - 2011
Event16th Australasian Conference on Information Security and Privacy, ACISP 2011 - Melbourne, VIC
Duration: 2011 Jul 112011 Jul 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6812 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other16th Australasian Conference on Information Security and Privacy, ACISP 2011
CityMelbourne, VIC
Period11/7/1111/7/13

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Liu, H., Tsunoo, Y., & Goto, S. (2011). Electromagnetic analysis enhancement with signal processing techniques (poster). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6812 LNCS, pp. 456-461). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6812 LNCS). https://doi.org/10.1007/978-3-642-22497-3_35