Results 11 to 20 of about 2,364,158 (363)
Multi-Leak Deep-Learning Side-Channel Analysis
IEEE Access, 2022 Deep Learning Side-Channel Attacks (DLSCAs) have become a realistic threat to implementations of cryptographic algorithms, such as Advanced Encryption Standard (AES). By utilizing deep-learning models to analyze side-channel measurements, the attacker is
Fanliang Hu, Huanyu Wang, Junnian Wang
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Deep Learning Method for Power Side-Channel Analysis on Chip Leakages
Elektronika ir Elektrotechnika, 2023 Power side channel analysis signal analysis is automated using deep learning. Signal processing and cryptanalytic techniques are necessary components of power side channel analysis.
Amjed Abbas Ahmed +2 more
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Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis
Transactions on Cryptographic Hardware and Embedded Systems, 2022 One of the main promoted advantages of deep learning in profiling sidechannel analysis is the possibility of skipping the feature engineering process.
Guilherme Perin +2 more
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Recent advances in deep learning‐based side‐channel analysis
ETRI Journal, 2020 As side‐channel analysis and machine learning algorithms share the same objective of classifying data, numerous studies have been proposed for adapting machine learning to side‐channel analysis.
Sunghyun Jin +3 more
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A Modular and Optimized Toolbox for Side-Channel Analysis [PDF]
IEEE Access, 2019 The aim of this paper is to describe the characteristics of a toolbox developed to carry out a side-channel analysis of cryptosystems implemented in physical devices.
Alberto Fuentes Rodriguez +3 more
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CPSGD: A Novel Optimization Algorithm and Its Application in Side-Channel Analysis [PDF]
MathematicsIn recent years, side-channel analysis based on deep learning has garnered significant attention from researchers. A pivotal reason for this lies in the fact that deep learning-based side-channel analysis requires minimal preprocessing of side-channel ...
Yifan Zhang +3 more
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A Comprehensive Study of Deep Learning for Side-Channel Analysis
IACR Transactions on Cryptographic Hardware and Embedded Systems, 2019 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 soundness of the approach, especially against implementations protected by masking or by jittering. Concurrently, important open issues have emerged.
Masure, Loïc +2 more
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Systematic Side-Channel Analysis of Curve25519 with Machine Learning [PDF]
Journal of Hardware and Systems Security, 2020 AbstractProfiling attacks, especially those based on machine learning, proved to be very successful techniques in recent years when considering the side-channel analysis of symmetric-key crypto implementations. At the same time, the results for implementations of asymmetric-key cryptosystems are very sparse.
Léo Weissbart +3 more
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Stealing Neural Network Structure Through Remote FPGA Side-Channel Analysis
IEEE Transactions on Information Forensics and Security, 2021 Deep Neural Network (DNN) models have been extensively developed by companies for a wide range of applications. The development of a customized DNN model with great performance requires costly investments, and its structure (layers and hyper-parameters ...
Yicheng Zhang +4 more
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Microwalk-CI: Practical Side-Channel Analysis for JavaScript Applications [PDF]
Conference on Computer and Communications Security, 2022 Secret-dependent timing behavior in cryptographic implementations has resulted in exploitable vulnerabilities, undermining their security. Over the years, numerous tools to automatically detect timing leakage or even to prove their absence have been ...
Jan Wichelmann +3 more
semanticscholar +1 more source