Profiling attack using multivariate regression analysis

Takeshi Sugawara, Naofumi Homma, Takafumi Aoki, Akashi Satoh

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This paper presents an improved side-channel attack based on multivariate regression analysis. The proposed method effectively refines measured side-channel traces using profiled information. Our method is advantageous to conventional profiling attacks as it is robust against attack configurations; it requires less traces while profiling and is less sensitive to the number of interesting points. We demonstrate the effectiveness of our method through concrete experiments in comparison with conventional methods. In the experiments, the proposed method is examined under various configurations to investigate its performance.

Original languageEnglish
Pages (from-to)1139-1144
Number of pages6
JournalIEICE Electronics Express
Volume7
Issue number15
DOIs
Publication statusPublished - 2010 Aug 10

Keywords

  • Correlation power analysis
  • Differential power analysis
  • Side-channel attacks

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Profiling attack using multivariate regression analysis'. Together they form a unique fingerprint.

  • Cite this