Profiled side-channel analysis based on deep learning, and more precisely Convolutional
Neural Networks, is a paradigm showing significant potential. The results, although scarce …

Recently, several studies have been published on the application of deep learning to
enhance Side-Channel Attacks (SCA). These seminal works have practically validated the …

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 …

Using information-theoretic tools, this paper establishes a mathematical link between the
probability of success of a side-channel attack and the minimum number of queries to reach …

In this paper, we present a side-channel analysis (SCA) on key encapsulation mechanisms
(KEMs) based on the Fujisaki–Okamoto (FO) transformation and its variants. Many post …

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

In 2019, ANSSI released a protected software implementation of AES running on an STM32
platform with ARM Cortex-M architecture, publicly available on Github. The release of the …

This study derives information-theoretical bounds of the success rate (SR) of side-channel
attacks on masked implementations. We first develop a communication channel model …

摘要侧信道攻击利用密码实现的物理泄露而不是理论弱点来恢复密钥, 对密码系统的安全实现有
严重的现实威胁. 密码设备运行时所产生的能量, 电磁, 缓存和故障输出等侧信息均可能导致密钥 …

In this study, we present new analytical metrics for evaluating the performance of side-
channel attacks (SCAs) by revisiting the perceived information (PI), which is defined using …