Challenges in deep learning-based profiled side-channel analysis

Stjepan Picek

doi:10.1007/978-3-030-35869-3_3

Challenges in deep learning-based profiled side-channel analysis

^*Corresponding author for this work

Cyber Security

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

Abstract

In recent years, profiled side-channel attacks based on machine learning proved to be very successful in breaking cryptographic implementations in various settings. Still, despite successful attacks even in the presence of countermeasures, there are many open questions. A large part of the research concentrates on improving the performance of attacks while little is done to understand them and even more importantly, use that knowledge in the design of more secure implementations. In this paper, we start by briefly recollecting on the state-of-the-art in machine learning-based side-channel analysis. Afterward, we discuss several challenges we believe will play an important role in future research.

Original language	English
Title of host publication	Security, Privacy, and Applied Cryptography Engineering - 9th International Conference, SPACE 2019, Proceedings
Editors	Shivam Bhasin, Avi Mendelson, Mridul Nandi
Publisher	Springer
Pages	9-12
Number of pages	4
Volume	11947
ISBN (Print)	9783030358686
DOIs	https://doi.org/10.1007/978-3-030-35869-3_3
Publication status	Published - 1 Jan 2019
Event	9th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2019 - Gandhinagar, India Duration: 3 Dec 2019 → 7 Dec 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11947 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2019
Country/Territory	India
City	Gandhinagar
Period	3/12/19 → 7/12/19

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10.1007/978-3-030-35869-3_3

Cite this

Picek, S. (2019). Challenges in deep learning-based profiled side-channel analysis. In S. Bhasin, A. Mendelson, & M. Nandi (Eds.), Security, Privacy, and Applied Cryptography Engineering - 9th International Conference, SPACE 2019, Proceedings (Vol. 11947, pp. 9-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11947 LNCS). Springer. https://doi.org/10.1007/978-3-030-35869-3_3

Picek, Stjepan. / Challenges in deep learning-based profiled side-channel analysis. Security, Privacy, and Applied Cryptography Engineering - 9th International Conference, SPACE 2019, Proceedings. editor / Shivam Bhasin ; Avi Mendelson ; Mridul Nandi. Vol. 11947 Springer, 2019. pp. 9-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Picek, S 2019, Challenges in deep learning-based profiled side-channel analysis. in S Bhasin, A Mendelson & M Nandi (eds), Security, Privacy, and Applied Cryptography Engineering - 9th International Conference, SPACE 2019, Proceedings. vol. 11947, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11947 LNCS, Springer, pp. 9-12, 9th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2019, Gandhinagar, India, 3/12/19. https://doi.org/10.1007/978-3-030-35869-3_3

Challenges in deep learning-based profiled side-channel analysis. / Picek, Stjepan.
Security, Privacy, and Applied Cryptography Engineering - 9th International Conference, SPACE 2019, Proceedings. ed. / Shivam Bhasin; Avi Mendelson; Mridul Nandi. Vol. 11947 Springer, 2019. p. 9-12 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11947 LNCS).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Picek S. Challenges in deep learning-based profiled side-channel analysis. In Bhasin S, Mendelson A, Nandi M, editors, Security, Privacy, and Applied Cryptography Engineering - 9th International Conference, SPACE 2019, Proceedings. Vol. 11947. Springer. 2019. p. 9-12. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-35869-3_3

Challenges in deep learning-based profiled side-channel analysis

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