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dc.contributor.advisorXexéo, José Antonio Moreirapt_BR
dc.contributor.advisorTorres, Renato Hidakapt_BR
dc.contributor.authorRocha, Bruno dos Santos-
dc.descriptionThis research presents a study on the identification of post-quantum cryptography algorithms through machine learning techniques. Plain text files were encoded by four postquantum algorithms, participating in NIST's post-quantum cryptography standardization contest, in ECB mode. The resulting cryptograms were submitted to the NIST Statistical Test Suite to enable the creation of metadata files. These files provide information for six data mining algorithms to identify the cryptographic algorithm used for encryption. Identification performance was evaluated in samples of different sizes. The successful identification of each machine learning algorithm is higher than a probabilistic bid, with hit rates ranging between 73 and 100%.pt_BR
dc.publisherEnigma - Journal ff Information Security and Cryptographypt_BR
dc.subjectCriptografia pós-quânticapt_BR
dc.subjectAprendizado de máquinapt_BR
dc.subjectIdentificação de padrõespt_BR
dc.titlePost-quantum cryptographic algorithm identification using machine learningpt_BR
dc.subject.dgpmSegurança da informaçãopt_BR
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