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 …

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 …

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 …

Non-profiled deep learning-based side-channel attacks with sensitivity analysis

B Timon - IACR Transactions on Cryptographic Hardware and …, 2019 - tches.iacr.org
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 …

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 …

The best of two worlds: Deep learning-assisted template attack

L Wu, G Perin, S Picek - IACR Transactions on Cryptographic …, 2022 - research.tudelft.nl
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 …

Profiled power analysis attacks using convolutional neural networks with domain knowledge

B Hettwer, S Gehrer, T Güneysu - International Conference on Selected …, 2018 - Springer
Abstract Evaluation of cryptographic implementations against profiled side-channel attacks
plays a fundamental role in security testing nowadays. Recently, deep neural networks and …

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 …

Breaking cryptographic implementations using deep learning techniques

H Maghrebi, T Portigliatti, E Prouff - Security, Privacy, and Applied …, 2016 - Springer
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 …

Reinforcement learning for hyperparameter tuning in deep learning-based side-channel analysis

J Rijsdijk, L Wu, G Perin, S Picek - IACR Transactions on …, 2021 - research.tudelft.nl
Deep learning represents a powerful set of techniques for profiling side-channel analysis.
The results in the last few years show that neural network architectures like multilayer …