Machine learning in side-channel analysis: a first study

G Hospodar, B Gierlichs, E De Mulder… - Journal of Cryptographic …, 2011 - Springer
Electronic devices may undergo attacks going beyond traditional cryptanalysis. Side-
channel analysis (SCA) is an alternative attack that exploits information leaking from …

Applications of machine learning techniques in side-channel attacks: a survey

B Hettwer, S Gehrer, T Güneysu - Journal of Cryptographic Engineering, 2020 - Springer
With increasing expansion of the Internet of Things, embedded devices equipped with
cryptographic modules become an important factor to protect sensitive data. Even though …

Power analysis attack: an approach based on machine learning

L Lerman, G Bontempi… - International Journal of …, 2014 - inderscienceonline.com
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 …

Strength in numbers: Improving generalization with ensembles in machine learning-based profiled side-channel analysis

G Perin, Ł Chmielewski, S Picek - IACR Transactions on …, 2020 - tches.iacr.org
The adoption of deep neural networks for profiled side-channel attacks provides powerful
options for leakage detection and key retrieval of secure products. When training a neural …

Template attack versus Bayes classifier

S Picek, A Heuser, S Guilley - Journal of Cryptographic Engineering, 2017 - Springer
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 …

Templates vs. stochastic methods: A performance analysis for side channel cryptanalysis

B Gierlichs, K Lemke-Rust, C Paar - … , October 10-13, 2006. Proceedings 8, 2006 - Springer
Abstract Template Attacks and the Stochastic Model provide advanced methods for side
channel cryptanalysis that make use of 'a-priori'knowledge gained from a profiling step. For …

A comprehensive study of deep learning for side-channel analysis

L Masure, C Dumas, E Prouff - IACR Transactions on Cryptographic …, 2020 - tches.iacr.org
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 …

On the performance of convolutional neural networks for side-channel analysis

S Picek, IP Samiotis, J Kim, A Heuser, S Bhasin… - Security, Privacy, and …, 2018 - Springer
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 …

Deep learning based side channel attacks in practice

H Maghrebi - Cryptology ePrint Archive, 2019 - eprint.iacr.org
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 …

Deep learning for side-channel analysis and introduction to ASCAD database

R Benadjila, E Prouff, R Strullu, E Cagli… - Journal of Cryptographic …, 2020 - Springer
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 …