Security evaluation of cryptographic modules against profiling attacks

Yongdae Kim; Naofumi Homma; Takafumi Aoki; Heebong Choi

doi:10.1007/978-3-642-37682-5_27

Security evaluation of cryptographic modules against profiling attacks

Yongdae Kim, Naofumi Homma, Takafumi Aoki, Heebong Choi

Electronics and Telecommunications Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Information Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers
Pages	383-394
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-37682-5_27
Publication status	Published - 2013
Event	15th International Conference on Information Security and Cryptology, ICISC 2012 - Seoul, Korea, Republic of Duration: 2012 Nov 28 → 2012 Nov 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7839 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Information Security and Cryptology, ICISC 2012
Country/Territory	Korea, Republic of
City	Seoul
Period	12/11/28 → 12/11/30

Keywords

multivariate regression analysis
power analysis attack
profiling attack
stochastic model attack
template attack

Access to Document

10.1007/978-3-642-37682-5_27

Cite this

Kim, Y., Homma, N., Aoki, T., & Choi, H. (2013). Security evaluation of cryptographic modules against profiling attacks. In Information Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers (pp. 383-394). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7839 LNCS). https://doi.org/10.1007/978-3-642-37682-5_27

Kim, Yongdae ; Homma, Naofumi ; Aoki, Takafumi et al. / Security evaluation of cryptographic modules against profiling attacks. Information Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers. 2013. pp. 383-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Security evaluation of cryptographic modules against profiling attacks",

abstract = "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.",

keywords = "multivariate regression analysis, power analysis attack, profiling attack, stochastic model attack, template attack",

author = "Yongdae Kim and Naofumi Homma and Takafumi Aoki and Heebong Choi",

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language = "English",

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Kim, Y, Homma, N , Aoki, T & Choi, H 2013, Security evaluation of cryptographic modules against profiling attacks. in Information Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7839 LNCS, pp. 383-394, 15th International Conference on Information Security and Cryptology, ICISC 2012, Seoul, Korea, Republic of, 12/11/28. https://doi.org/10.1007/978-3-642-37682-5_27

Security evaluation of cryptographic modules against profiling attacks. / Kim, Yongdae; Homma, Naofumi ; Aoki, Takafumi et al.
Information Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers. 2013. p. 383-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7839 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Aoki, Takafumi

AU - Choi, Heebong

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - multivariate regression analysis

KW - power analysis attack

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Information Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers

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Kim Y, Homma N , Aoki T, Choi H. Security evaluation of cryptographic modules against profiling attacks. In Information Security and Cryptology, ICISC 2012 - 15th International Conference, Revised Selected Papers. 2013. p. 383-394. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-37682-5_27

Security evaluation of cryptographic modules against profiling attacks

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