• Citer

Start Simple and then Refine: Bias-Variance Decomposition as a Diagnosis Tool for Leakage Profiling

par Lerman, Liran ;Veshchikov, Nikita ;Markowitch, Olivier ;Standaert, François-Xavier
Référence I.E.E.E. transactions on computers, page (1-16)
Publication Publié, 2017-07-24

Article révisé par les pairs

• Détails
• Contenu

Résumé :

Evaluating the resistance of cryptosystems to side-channel attacks is an important research challenge. Profiled attacks reveal the degree of resilience of a cryptographic device when an adversary examines its physical characteristics. So far, evaluation laboratories launch several physical attacks (based on engineering intuitions) in order to find one strategy that eventually extracts secret information (such as a secret cryptographic key). The certification step represents a complex task because in practice the evaluators have tight memory and time constraints. In this paper, we propose a principled way of guiding the design of the most successful evaluation strategies thanks to the (bias-variance) decomposition of a security metric of profiled attacks. Our results show that we can successfully apply our framework on unprotected and protected algorithms implemented in software and hardware.