Side-channel attacks represent a realistic and serious threat to the security of embedded
devices for already almost three decades. A variety of attacks and targets they can be …

Deep learning has become the de-facto computational paradigm for various kinds of
perception problems, including many privacy-sensitive applications such as online medical …

The power consumed by a circuit varies according to the activity of its individual transistors
and other components. As a result, measurements of the power used by actual computers or …

Hardware manufacturers are increasingly outsourcing their IC fabrication work overseas due
to their much lower cost structure. This poses a significant security risk for ICs used for …

Electronic devices may undergo attacks going beyond traditional cryptanalysis. Side-
channel analysis (SCA) is an alternative attack that exploits information leaking from …

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

Template attacks remain a powerful side-channel technique to eavesdrop on tamper-
resistant hardware. They model the probability distribution of leaking signals and noise to …

This article, for the first time, demonstrates Cross-device Deep Learning Side-Channel
Attack (X-DeepSCA), achieving an accuracy of> 99.9%, even in presence of significantly …

Side-channel attacks are a serious threat to implementations of cryptographic algorithms.
Secret information is recovered based on power consumption, electromagnetic emanations …

In this contribution we propose the so-called SVM attack, a profiling based side channel
attack, which uses the machine learning algorithm support vector machines (SVM) in order …