A Novel Subspace Template Attack Based on Symmetric Cross Entropy Criterion

Side-channel attacks pose a serious threat to implementations of cryptographic algorithms. Template attacks are probabilistic side channel attacks, which assume a Gaussian noise model. Selecting automatically the meaningful time samples in side-channel leakage traces is an important problem in the application of template attacks and it usually relies on heuristics. In this work, we propose a new dimension reduction method which is different from classical statistical tools to solve this problem.