Multivariate Leakage Model for Improving Non-profiling DPA on Noisy Power Traces

DOI10.1007/978-3-319-12087-4_21zbMath1347.94036OpenAlexW2172634156MaRDI QIDQ3454163

Debdeep Mukhopadhyay, Suvadeep Hajra

Publication date: 2 December 2015

Published in: Information Security and Cryptology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-12087-4_21

zbMATH Keywords

leakage modelcorrelation power attack (CPA)differential power attack (DPA)multivariate distinguishermultivariate DPAmultivariate leakage modelnon-profiling attack

Mathematics Subject Classification ID

Cryptography (94A60)

Cites Work

• Mutual information analysis: a comprehensive study
• Cryptographic hardware and embedded systems -- CHES 2006. 8th international workshop, Yokohama, Japan, October 10--13, 2006. Proceedings
• Getting More from PCA: First Results of Using Principal Component Analysis for Extensive Power Analysis
• First Principal Components Analysis: A New Side Channel Distinguisher
• A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
• Differential Cluster Analysis
• A Comprehensive Evaluation of Mutual Information Analysis Using a Fair Evaluation Framework
• Power Analysis Attacks
• Cryptographic Hardware and Embedded Systems - CHES 2004
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