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

• Main Authors: Ali Akbar Pammu, Chong, Kwen-Siong, Wang, Yi, Gwee, Bah-Hwee
• Other Authors: School of Electrical and Electronic Engineering
• Format: 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
• Institution: Nanyang Technological University

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...