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An overview of profiling side channel analysis based on machine learning
Author(s) -
Shijie Song,
Kaiyan Chen,
Jiawei Ma
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/563/3/032029
Subject(s) - profiling (computer programming) , side channel attack , computer science , cryptography , artificial intelligence , machine learning , computer security , programming language
It has made a real issue in cryptographic security with the widespread use of them which attracts more attention now. This paper summarizes the most distinguishing profiling type attack in the side channel of cryptographic chips.The principle steps of the traditional profiling side channel analysis are introduced firstly,then the exposed problems are directed in discussion.It fits well to solve the problems using the algorithm in machine learning. So what undoubtedly added in is that the profiling side channel analysis is based on machine learning. Also the situation and the progress are both the significance in the paper.The disadvantages and the future of its development are mentioned at the end.

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