Statistical Higher-Order Correlation Attacks Against Code-Based Masking - Télécom Paris
Article Dans Une Revue IEEE Transactions on Computers Année : 2024

Statistical Higher-Order Correlation Attacks Against Code-Based Masking

Résumé

Masking is one of the most well-established methods to thwart side-channel attacks. Many masking schemes have been proposed in the literature, and code-based masking emerges and unifies several masking schemes in a coding-theoretic framework. In this work, we investigate the side-channel resistance of code-based masking from a non-profiling perspective by utilizing correlation-based side-channel attacks. We present a systematic evaluation of correlation attacks with various higher-order (centered) moments and then present the form of optimal correlation attacks. Interestingly, the Pearson correlation coefficient between the hypothetical leakage and the measured traces is connected to the signal-to-noise ratio in higher-order moments, and it turns out to be easy to evaluate rather than launch repeated attacks. We also identify some ineffective higher-order correlation attacks at certain orders when the device leaks under the Hamming weight leakage model. Our theoretical findings are verified through both simulated and real-world measurements.
Fichier non déposé

Dates et versions

hal-04811295 , version 1 (29-11-2024)

Identifiants

Citer

Wei Cheng, Jingdian Ming, Sylvain Guilley, Jean-Luc Danger. Statistical Higher-Order Correlation Attacks Against Code-Based Masking. IEEE Transactions on Computers, 2024, 73 (10), pp.2364-2377. ⟨10.1109/TC.2024.3424208⟩. ⟨hal-04811295⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

More