Profiled Side-Channel Analysis in the Efficient Attacker Framework

Conference paper (2022)

Authors

S. Picek Cyber Security - EEMCS
Annelie Heuser Université de Rennes
G. Perin Cyber Security - EEMCS
Sylvain Guilley Secure-IC SAS
Research Group
Cyber Security (EEMCS) (TU Delft)
Copyright: © 2022 S. Picek, Annelie Heuser, G. Perin, Sylvain Guilley
DOI: https://doi.org/10.1007/978-3-030-97348-3_3
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Cyber Security

Abstract

Profiled side-channel attacks represent the most powerful category of side-channel attacks. There, the attacker has access to a clone device to profile its leaking behavior. Additionally, it is common to consider the attacker unbounded in power to allow the worst-case security analysis. This paper starts with a different premise where we are interested in the minimum power that the attacker requires to conduct a successful attack. We propose a new framework for profiled side-channel analysis that we call the Efficient Attacker Framework. With it, we require attacks to be as powerful as possible, but we also provide a setting that inherently allows a more objective analysis among attacks. To confirm our theoretical results, we provide an experimental evaluation of our framework in the context of deep learning-based side-channel analysis.