Description
Ring oscillators (ROs) are often used in true random number generators (TRNGs). The jitter of their clock signal, used as a source of randomness, stems from thermal and flicker noises. While thermal noise jitter is often identified as the main source of randomness, flicker noise jitter is not taken into account due to its autocorrelated nature which greatly complexifies modelling. However, it is a noise that has an increasingly large contribution as technology nodes decrease. This talk presents our recent work studying the influence of flicker noise on the entropy of a RO-based TRNG. The methodology is based on a phase noise emulator that integrates flicker and thermal noises, and generates jittered time series thus enabling the output of the TRNG (series of random bits) to be obtained. From this emulator, the impact of the flicker noise on the entropy can be quantified and analysed.
Practical infos
Next sessions
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ML-Based Hardware Trojan Detection in AI Accelerators via Power Side-Channel Analysis
Speaker : 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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