Machine Learning based Blind Side-Channel Attacks on PQC-based KEMs - A Case Study of Kyber KEM

ePrint Report: Machine Learning based Blind Side-Channel Attacks on PQC-based KEMs - A Case Study of Kyber KEM

Prasanna Ravi, Dirmanto Jap, Shivam Bhasin, Anupam Chattopadhyay

Kyber KEM, the NIST selected PQC standard for Public Key Encryption and Key Encapsulation Mechanisms (KEMs) has been subjected to a variety of side-channel attacks, through the course of the NIST PQC standardization process. However, all these attacks targeting the decapsulation procedure of Kyber KEM either require knowledge of the ciphertexts or require to …

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