Breaking Masked and Shuffled CCA Secure Saber KEM by Power Analysis
In this paper, we show that a software implementation of CCA secure Saber KEM protected by first-order masking and shuffling can be broken by deep learning-based power analysis. Using an ensemble of deep neural networks created at the profiling stage, we can recover the session key and the long-term secret key from 257xN and 24x257xN traces, respectively, where N is the number of repetitions of th
