Physical cryptographic implementations are vulnerable to so-called side-channel attacks, in
which sensitive information can be recovered by analyzing physical phenomena of a device …

Deep Learning has recently been introduced as a new alternative to perform Side-Channel
analysis [MPP16]. Until now, studies have been focused on applying Deep Learning …

Side-channel analysis has become a widely recognized threat to the security of
cryptographic implementations. Different side-channel attacks, as well as countermeasures …

Side-channel analysis is an important issue for the security of embedded cryptographic
devices, and masking is one of the most investigated solutions to mitigate such attacks. In …

Leakage detection usually refers to the task of identifying data-dependent information in side-
channel measurements, independent of whether this information can be exploited. Detecting …

The design and analysis of lightweight block ciphers has been a very active research area
over the last couple of years, with many innovative proposals trying to optimize different …

We describe how Pearson's χ 2-test can be used as a natural complement to Welch's t-test
for black box leakage detection. In particular, we show that by using these two tests in …

We find mathematically optimal side-channel distinguishers by looking at the side-channel
as a communication channel. Our methodology can be adapted to any given scenario …

Power (along with EM, cache and timing) leaks are of considerable concern for developers
who have to deal with cryptographic components as part of their overall software …

Deep learning-based side-channel analysis performance heavily depends on the dataset
size and the number of instances in each target class. Both small and imbalanced datasets …