Post-quantum cryptographic algorithm identification using machine learning

This research presents a study on the identification of post-quantum cryptography algorithms through machine learning techniques. Plain text files were encoded by four algorithms, participating in NIST's standardization contest, ECB mode. The resulting cryptograms submitted to NIST Statistical Test Suite enable creation metadata files. These provide information for six data mining identify cryptographic algorithm used encryption. Identification performance was evaluated samples different sizes. successful each is higher than probabilistic bid, with hit rates ranging between 73 and 100%.