Security evaluation of cryptographic modules against profiling attacks

Yongdae Kim, Naofumi Homma, Takafumi Aoki, Heebong Choi

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Recently, profiling attacks have been attracting a great deal of attention because of their increasing efficiency. Further investigations are required to determine the potential threats of the profiling attacks. This paper focuses on these attacks. Using hardware and software implementations, we provide a security evaluation of three different types of profiling attacks: template attack, stochastic model attack, and multivariate regression attack. Our experimental results show that multivariate regression attack outperforms other attacks in terms of profiling efficiency and key extraction rates.

本文言語English
ホスト出版物のタイトルInformation Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers
ページ383-394
ページ数12
DOI
出版ステータスPublished - 2013 4 15
イベント15th International Conference on Information Security and Cryptology, ICISC 2012 - Seoul, Korea, Republic of
継続期間: 2012 11 282012 11 30

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7839 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other15th International Conference on Information Security and Cryptology, ICISC 2012
国/地域Korea, Republic of
CitySeoul
Period12/11/2812/11/30

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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