Evolutionary algorithms have been successfully applied to attack Physically Unclonable Functions (PUFs). CMA-ES is recognized as the most powerful option for a type of attack called the reliability attack. In this paper, we take a step back and systematically evaluate several metaheuristics for the challenge-response pair-based attack on strong PUFs. Our results confirm that CMA-ES has the best performance, but we note several other algorithms with similar performance while having smaller computational costs.
Coello Coello, C., Durasevic, M., Jakobovic, D., Krcek, M., Mariot, L., Picek, S. (2023). Modeling Strong Physically Unclonable Functions with Metaheuristics. In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp.719-722). Association for Computing Machinery, Inc [10.1145/3583133.3590699].
Modeling Strong Physically Unclonable Functions with Metaheuristics
Mariot, Luca;
2023
Abstract
Evolutionary algorithms have been successfully applied to attack Physically Unclonable Functions (PUFs). CMA-ES is recognized as the most powerful option for a type of attack called the reliability attack. In this paper, we take a step back and systematically evaluate several metaheuristics for the challenge-response pair-based attack on strong PUFs. Our results confirm that CMA-ES has the best performance, but we note several other algorithms with similar performance while having smaller computational costs.
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