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dc.contributor.authorOsborne, Mack W.
dc.date2023-04
dc.date.accessioned2023-05-23T17:21:13Z
dc.date.available2023-05-23T17:21:13Z
dc.identifier.urihttps://hdl.handle.net/11124/176963
dc.identifier.urihttps://doi.org/10.25676/11124/176963
dc.descriptionAdvisor: Jay Moorman.
dc.description.abstractQuantum 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.
dc.format.mediumposters
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2023 Graduate Research And Discovery Symposium (GRADS) posters and presentations
dc.rightsCopyright of the original work is retained by the author.
dc.titleApplications of post-quantum cryptography - survey and application of machine learning
dc.typeText
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