Power analysis to ECC using differential power between multiplication and squaring

Toru Akishita, Tsuyoshi Takagi

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

9 Citations (Scopus)

Abstract

Power analysis is a serious attack to implementation of elliptic curve cryptosysterns (ECC) on smart cards. For ECC, many power analysis attacks and countermeasures have been proposed. In this paper, we propose a novel power analysis attack using differential power between modular multiplication and modular squaring. We show how this difference occurs in CMOS circuits by counting the expectation of signal transition frequency, and present a simulation result on our ECC co-processor. The proposed attack is applicable to two efficient power analysis countermeasures based on unified addition formulae and elliptic curves with Montgomery form.

Original languageEnglish
Title of host publicationSmart Card Research and Advanced Applications - 7th IFIP WG 8.8/11.2 International Conference, CARDIS 2006, Proceedings
Pages151-164
Number of pages14
DOIs
Publication statusPublished - Jul 14 2006
Event7th IFIP WG 8.8/11.2 International Conference, CARDIS 2006 - Tarargona, Spain
Duration: Apr 19 2006Apr 21 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3928 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th IFIP WG 8.8/11.2 International Conference, CARDIS 2006
CountrySpain
CityTarargona
Period4/19/064/21/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Akishita, T., & Takagi, T. (2006). Power analysis to ECC using differential power between multiplication and squaring. In Smart Card Research and Advanced Applications - 7th IFIP WG 8.8/11.2 International Conference, CARDIS 2006, Proceedings (pp. 151-164). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3928 LNCS). https://doi.org/10.1007/11733447_11