Description
The main purpose of cryptography is to ensure secure communication. In order to achieve this goal, cryptographic schemes make an intensive use of random numbers. Given that the security of these schemes highly depends on these numbers, it is important to produce high-quality random numbers. Knowing that most cryptographic modules are nowadays implemented in logic devices, we investigated True Random Number Generators (TRNGs) that can be implemented in this kind of technology. Because of the critical nature of TRNGs in cryptographic schemes, their source and their quality must be evaluated in details.
Historically, TRNGS were considered as black boxes which produce sequences of random numbers. There were therefore solely evaluated using statistical tests. However, this consideration turns out to be not acceptable for security. Modern approaches (e.g. AIS 31) consist in characterizing sources of randomness and randomness extraction mechanisms.
In this talk, we will highlight the main challenges and modern approaches in TRNG security evaluation. One of these challenges is the characterization of the source of randomness. It leads us to consider various electronic noises that need to be characterized and for which, the contribution to the overall entropy need to be assessed.
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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