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Cryptography, Volume 7, Issue 3
September 2023 - 13 articles
Cover Story: The rise of Artificial Intelligence, particularly Artificial Neural Networks (ANNs), which are enabled by a significant increase in computational power, opens up the exploration of their applications in cryptanalysis. Indeed, as excellent approximators for arbitrary non-linear functions and aggregators of latent information, ANNs have the potential to model and learn salient non-linear layers that are at the heart of symmetric encryption processes. This is equally true for asymmetric post-quantum encryption that is based on lattices, which resemble the architecture of ANNs. In this paper, we review four major algorithms, namely AES, RSA, LWE, and the ASCON family of authenticated encryption algorithms, and pinpoint encryption transformations that can benefit from ANNs to help improve their security parameters. View this paper
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Cryptography - ISSN 2410-387X