Print Email Facebook Twitter SoK Title SoK: Deep Learning-based Physical Side-channel Analysis Author Picek, S. (Radboud Universiteit Nijmegen) Perin, G. (Radboud Universiteit Nijmegen) Mariot, L. (Radboud Universiteit Nijmegen) Wu, L. (TU Delft Cyber Security) Batina, Lejla (Radboud Universiteit Nijmegen) Date 2023 Abstract Side-channel attacks represent a realistic and serious threat to the security of embedded devices for already almost three decades. A variety of attacks and targets they can be applied to have been introduced, and while the area of side-channel attacks and their mitigation is very well-researched, it is yet to be consolidated. Deep learning-based side-channel attacks entered the field in recent years with the promise of more competitive performance and enlarged attackers' capabilities compared to other techniques. At the same time, the new attacks bring new challenges and complexities to the domain, making the systematization of knowledge (SoK) even more critical.We first dissect deep learning-based side-channel attacks according to the different phases they can be used in and map those phases to the efforts conducted so far in the domain. For each phase, we identify the weaknesses and challenges that triggered the known open problems. We also connect the attacks to the threat models and evaluate their advantages and drawbacks. Finally, we provide a number of recommendations to be followed in deep learning-based side-channel attacks. Subject Additional Key Words and PhrasesSide-channel attackschallengesdeep learningprofiling attacksrecommendationssupervised learning To reference this document use: http://resolver.tudelft.nl/uuid:386ce2a2-7229-4e0c-a9a9-aaf6174b596b DOI https://doi.org/10.1145/3569577 Embargo date 2023-08-09 ISSN 0360-0300 Source ACM Computing Surveys: the survey and tutorial journal of the ACM, 55 (11) 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 journal article Rights © 2023 S. Picek, G. Perin, L. Mariot, L. Wu, Lejla Batina Files PDF 3569577.pdf 2.12 MB Close viewer /islandora/object/uuid:386ce2a2-7229-4e0c-a9a9-aaf6174b596b/datastream/OBJ/view