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Applications of post-quantum cryptography - survey and application of machine learning

Osborne, Mack W.
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2023-04
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2023 Graduate Research And Discovery Symposium (GRADS) posters and presentations
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GRADS2023_Mack_Osborne.pdf
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https://hdl.handle.net/11124/176963
 https://doi.org/10.25676/11124/176963
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Abstract
Quantum Computing poses a considerable threat in the world of cyber security. Policy makers are largely unprepared for a post-quantum world, significantly due to a lack of understanding and awareness. The goal of this paper is to improve understanding and provide a new and effective way to analyze post-quantum cryptography, for researchers and security engineers alike. This is done by providing a background of quantum computing, a survey of the state of technologies and relevant policies, and a novel application of machine learning to perform analysis of quantum-ready encryption. The machine learning research will provide a Multinominal Naïve Bayes for discrete analysis of the RSA and CRYSTAL-Kyber encryptions.
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