Description
Side-channel attacks remain a permanent threat against embedded systems, thus reliable protections should be implemented and must be minutely evaluated. In this presentation, we study different possible ways to evaluate against such threats. We show how an evaluation can be carried out to validate a security level of a protected hardware implementation. This approach allows us to estimate in advance the expected security level on a real circuit. We explore an efficient and more exhaustive way to test a masked implementation against vulnerabilities induced by glitches. We took advantage in this approach to setup a better model for this phenomenon, and to explain the form of the generated leakage based on a spectral characterization that can be applied also to real acquisitions. This allows us to explain why standard leakage models are ineffective, and why a prior characterization is required to be able to exploit this kind of flaw. With this better understanding of the leakage, we can design more compact and robust functions, that we validate on simulated and real electromagnetic traces.
Infos pratiques
Prochains exposés
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ML-Based Hardware Trojan Detection in AI Accelerators via Power Side-Channel Analysis
Orateur : Yehya NASSER - IMT Atlantique
Our work discusses the security risks associated with outsourcing AI accelerator design due to the threat of hardware Trojans (HTs), a problem traditional testing methods fail to address. We introduce a novel solution based on Power Side-Channel Analysis (PSCA), where we collect and preprocess power traces by segmenting them and extracting features from both time and frequency domains. This[…]-
SemSecuElec
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Side-channel
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Machine learning
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Hardware trojan
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