Still Making Noise
Improving Deep-Learning-Based Side-Channel Analysis
Jaehun Kim (Pandora Media, LLC, TU Delft - Multimedia Computing)
Stjepan Picek (Radboud Universiteit Nijmegen, TU Delft - Cyber Security)
Annelie Heuser (CNRS-IRISA)
Shivam Bhasin (Nanyang Technological University)
Alan Hanjalic (Radboud Universiteit Nijmegen, TU Delft - Intelligent Systems)
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Abstract
Editor’s notes: Side-channel attacks have been undermining cryptosystems for almost three decades. Advances in machine learning techniques have shown great promise in improving the performance and efficiency of side-channel attacks, even on systems with countermeasures. This article provides a systematic approach to applying ML techniques for side-channel attacks.