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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

Preprocessing of Correlation Power Analysis Based on Improved Wavelet Packet

verfasst von : Peng Ma, Ze-yu Wang, WeiDong Zhong, Xu An Wang

Erschienen in: Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Verlag: Springer International Publishing

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Abstract

Preprocessing is a very important step in side channel analysis. The quality of the collected power traces seriously affects the efficiency of side channel analysis. Therefore, the preprocessing of Wavelet Transform (WT) and Wavelet Packet Denoising (WPD) are widely used. However, WT has certain defects in characterizing detail information of power traces. The threshold of WPD is not universal and adaptive. In order to solve these problems, it provides a preprocessing of power traces by combining WPD and Singular Spectrum Analysis (SSA), which takes advantage of the former to resolve the power consumption data, and the latter is used to extract the information of the low frequency and high frequency parts. Then, according to the fluctuation trend of singular entropy, the key information contained in the two parts is extracted adaptively, so as to improve the quality of power traces. Finally, through the selection of plaintext attack on the SM4 algorithm implemented by hardware, it can improve the efficiency of Correlation Power Analysis (CPA).

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Vorheriges Kapitel Detection of Malicious Code Variants Based on a Flexible and Lightweight Net
Nächstes Kapitel A Method of Annotating Disease Names in TCM Patents Based on Co-training
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Metadaten
Titel
Preprocessing of Correlation Power Analysis Based on Improved Wavelet Packet
verfasst von
Peng Ma
Ze-yu Wang
WeiDong Zhong
Xu An Wang
Copyright-Jahr
2020
Buch
Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Print ISBN: 978-3-030-33508-3

Electronic ISBN: 978-3-030-33509-0

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-33509-0_34