Attacking Randomized Exponentiations Using Unsupervised Learning

DOI10.1007/978-3-319-10175-0_11zbMath1358.94075OpenAlexW229144803MaRDI QIDQ2794581

Philippe Maurine, Laurent Imbert, Lionel Torres, Guilherme Perin

Publication date: 10 March 2016

Published in: Constructive Side-Channel Analysis and Secure Design (Search for Journal in Brave)

Full work available at URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01096039/file/cosade2014_camera-ready.pdf

zbMATH Keywords

RSAunsupervised learningclustering algorithmselectromagnetic analysisrandomized exponentiationsingle-execution attacks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Cryptography (94A60) Mathematical problems of computer architecture (68M07)

Related Items (5)

Key Bit-Dependent Attack on Protected PKC Using a Single Trace ⋮ Trade-Off Approaches for Leak Resistant Modular Arithmetic in RNS ⋮ T_SM: Elliptic Curve Scalar Multiplication Algorithm Secure Against Single-Trace Attacks ⋮ Attacking embedded ECC implementations through CMOV side channels ⋮ Stochastic methods defeat regular RSA exponentiation algorithms with combined blinding methods

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