Template attack is the most common and powerful profiled side channel attack. It relies on a
realistic assumption regarding the noise of the device under attack: the probability density …

A recent line of research has investigated a new profiling technique based on deep learning
as an alternative to the well-known template attack. The advantage of this new profiling …

In the last decade, machine learning-based side-channel attacks have become a standard
option when investigating profiling side-channel attacks. At the same time, the previous state …

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 …

The side-channel community recently investigated a new approach, based on deep
learning, to significantly improve profiled attacks against embedded systems. Compared to …

Side-channel attacks represent one of the most powerful categories of attacks on
cryptographic devices with profiled attacks in a prominent place as the most powerful among …

With increasing expansion of the Internet of Things, embedded devices equipped with
cryptographic modules become an important factor to protect sensitive data. Even though …

In cryptography, a side-channel attack is any attack based on the analysis of measurements
related to the physical implementation of a cryptosystem. Nowadays, the possibility of …

Recent works have demonstrated that deep learning algorithms were efficient to conduct
security evaluations of embedded systems and had many advantages compared to the other …

In this work, we ask a question whether Convolutional Neural Networks are more suitable for
side-channel attacks than some other machine learning techniques and if yes, in what …