Title:	Post-quantum cryptographic algorithm identification using machine learning
Authors:	Rocha, Bruno dos Santos
metadata.dc.contributor.advisor:	Xexéo, José Antonio Moreira Torres, Renato Hidaka
Keywords:	Criptografia pós-quântica Aprendizado de máquina Identificação de padrões
DGPM knowledge areas:	Segurança da informação
Issue Date:	2022
Publisher:	Enigma - Journal ff Information Security and Cryptography
Description:	This 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%.
Access:	Open access
URI:	https://www.repositorio.mar.mil.br/handle/ripcmb/846595
Type:	Article
Appears in Collections:	Tecnologia da Informação: Coleção de Artigos

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