Deep Learning is nowadays widely used by security evaluators to conduct side-channel
attacks, especially in profiling attacks that allow a supervised learning phase. However …

The application of convolutional neural networks (CNNs) to break cryptographic systems
through hardware side-channels facilitated rapid and adaptable attacks on cryptographic …

The deep learning-based side-channel analysis gave some of the most prominent side-
channel attacks against protected targets in the past few years. To this end, the research …

Hardware-based cryptographic implementations utilize countermeasures to resist side-
channel attacks. In this paper, we propose a novel deep-learning architecture for side …

Side-channel analysis is an important part of the security evaluations of hardware
components and more specifically of those that include cryptographic algorithms. Profiling …

Deploying machine learning-based intrusion detection systems (IDSs) on hardware devices
is challenging due to their limited computational resources, power consumption, and …

Correlation power analysis (CPA) combined with genetic algorithms (GA) now achieves
greater attack efficiency and can recover all subkeys simultaneously. However, two issues in …

Abstract Side-Channel Analysis (SCA) is critical in evaluating the security of cryptographic
implementations. The search for hyperparameters poses a significant challenge, especially …

The past years have witnessed a considerable increase in research efforts put into neural
network-assisted profiled side-channel analysis (SCA). Studies have also identified …

This work explores a novel method of SCA profiling to address compatibility problems and
bolster Deep Learning (DL) models. Convolutional Neural Networks are proposed in this …