A highly efficient side channel attack with profiling through relevance-learning on physical leakage information

A highly efficient side channel attack with profiling through relevance-learning on physical leakage information

We propose a Profiling through Relevance-Learning (PRL) technique on Physical Leakage Information (PLI) to extract highly correlated PLI with processed data, as to achieve a highly efficient yet robust Side Channel Attack (SCA). There are four key features in our proposed PRL. First, variance analys...

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Bibliographic Details
Main Authors: Ali Akbar Pammu, Chong, Kwen-Siong, Wang, Yi, Gwee, Bah-Hwee
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Profiling SCA
Profiling Through Relevance-learning
Online Access:https://hdl.handle.net/10356/150980

Internet

https://hdl.handle.net/10356/150980

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