Print Email Facebook Twitter A Pre-Silicon Power Leakage Assessment Based on Generative Adversarial Networks Title A Pre-Silicon Power Leakage Assessment Based on Generative Adversarial Networks Author Aljuffri, A.A.M. (TU Delft Computer Engineering) Saxena, Mudit (Student TU Delft) Reinbrecht, Cezar (TU Delft Computer Engineering) Hamdioui, S. (TU Delft Computer Engineering) Taouil, M. (TU Delft Computer Engineering) Contributor Niar, Smail (editor) Ouarnoughi, Hamza (editor) Skavhaug, Amund (editor) Date 2023 Abstract Security is one of the most important features that a system must provide. Depending on the application of the target device, different threats should be considered at design time. However, the attack space is vast. Hence, it is difficult to decide what components to protect, what level of protection they require and how efficient they are in the field. This paper tries to close this validation gap for power based side channel attacks by providing a fast and reliable leakage assessment at design time that can be used to perform design space exploration for security. To accomplish our goal, we use Generative Adversarial Networks (GAN) to generate reliable power traces for hardware implementations at design time that are subsequently used to assess the leakage of the design. As a case study, we validated our framework against three AES implementations (i.e., unprotected, masked-protected, and balanced protected). In comparison to CAD-based scenarios, our findings show that the GAN model creates extremely reliable power traces in terms of attackability and leakage assessment. In addition, it is approximately 120 times quicker than CAD tools with respect to trace generation. Subject Countermeasuresdesign explorationgenerative adversarial networksside channel analysissymmetric cryptography To reference this document use: http://resolver.tudelft.nl/uuid:7e8db87d-400c-4ee5-9e0e-8d3944133390 DOI https://doi.org/10.1109/DSD60849.2023.00022 Publisher IEEE, Piscataway Embargo date 2024-09-19 ISBN 979-8-3503-4420-2 Source Proceedings of the 2023 26th Euromicro Conference on Digital System Design (DSD) Event 2023 26th Euromicro Conference on Digital System Design (DSD), 2023-09-06 → 2023-09-08, Golem, Albania Series Proceedings - 2023 26th Euromicro Conference on Digital System Design, DSD 2023 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2023 A.A.M. Aljuffri, Mudit Saxena, Cezar Reinbrecht, S. Hamdioui, M. Taouil Files file embargo until 2024-09-19