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http://dx.doi.org/10.13089/JKIISC.2014.24.6.1055

The Enhanced Power Analysis Using Linear Discriminant Analysis  

Kang, Ji-Su (Samsung Electronics Co., Ltd.)
Kim, HeeSeok (Korea Institute of Science and Technology Information)
Hong, Seokhie (Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.24, no.6, 2014 , pp. 1055-1063 More about this Journal
Abstract
Recently, various methods have been proposed for improving the performance of the side channel analysis using the power consumption. Of those method, waveform compression method applies to reduce the noise component in pre-processing step. In this paper, we propose the new LDA(Linear Discriminant Analysis)-based signal compression method finding unique feature vector. Through experimentations, we are comparing the proposed method with the PCA(Principal Component Analysis)-based method which has known for the best performance among existing signal compression methods.
Keywords
Side-Channel Analysis; Power Analysis; Linear Discriminant Analysis;
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