基于EMD与奇异值差分谱的侧信道信号特征提取

doi:10.11959/j.issn.2096-109x.2016.00069

Chinese Journal of Network and Information Security ›› 2016, Vol. 2 ›› Issue (7): 69-75.doi: 10.11959/j.issn.2096-109x.2016.00069

• Academic paper • Previous Articles

Feature extraction of side channel signal based on EMD and difference spectrum of singular value

Yan-li YAO,Zhen WU(),Jin-tao RAO,Min WANG,Zhi-bo DU

College of Information Security Engineering,Chengdu University of Information Technology,Chengdu 610225,China

Revised:2016-06-22 Online:2016-07-15 Published:2020-03-26
Supported by:
The National Science and Technology Major Project(2014ZX01032401-001);The National High Tech-nology Research and Development Program (863 Program)(2012AA01A403);“The 12th Five-Years” National Cryptogram Development Fund(MMJJ201101022);Sichuan Provincial Science and Technology Support Programmer(2014GZ0148);Sichuan Provincial Education Department Key Scientific Research Project(13ZA0091);The Scientific Research Foundation of CUIT(CRF201301);The Scientific Research Foundation of the Young and Middle-aged Academic Leaders of CUIT(J201610)

Abstract

Abstract:

In order to extract feature information of side channel signal from the strong noise,the approach of signal feature extraction was proposed on account of empirical mode decomposition (EMD) and difference spectrum of singular value.Firstly,using EMD to decompose the original side channel signal,the correlation coefficient between all the intrinsic mode functions (IMF) and the original signal were calculated to find the component of biggest simi-lar characteristic.Then,to make a singular value decomposition of IMF component and corresponding difference spectrum of singular values was obtained.Finally,according to the difference spectrum,the filtered and recon-structed signal of IMF component was obtained,and the feature information of component was further extracted.The actual examples show that the method can extract characteristic information of side channel signal validly and improve the SNR and success rate of attack of signal successfully.

Key words: side channel singnal, empirical mode decomposition, difference spectrum of singular value, feature ex-traction, attack success rate

CLC Number:

TP309/TN911

Yan-li YAO,Zhen WU,Jin-tao RAO,Min WANG,Zhi-bo DU. Feature extraction of side channel signal based on EMD and difference spectrum of singular value[J]. Chinese Journal of Network and Information Security, 2016, 2(7): 69-75.

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References 15

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轮密钥字节	正确猜测密钥	原始信号（相关系数）	EMD处理后的信号（相关系数）	先EMD处理，后差分谱处理后的信号（相关系数）
1	241(0xF1)	0.220 3	0.365 2	0.529 7
2	33(0x21)	0.251 4	0.482 1	0.625 8
3	134(0x86)	0.222 7	0.510 7	0.610 0
4	249(0xF9)	0.282 4	0.574 5	0.691 0

Feature extraction of side channel signal based on EMD and difference spectrum of singular value

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