基于EMD与奇异值差分谱的侧信道信号特征提取

姚艳丽; 吴震; 饶金涛; 王敏; 杜之波

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

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基于EMD与奇异值差分谱的侧信道信号特征提取

学术论文 | 更新时间：2024-06-03

- 基于EMD与奇异值差分谱的侧信道信号特征提取
- Feature extraction of side channel signal based on EMD and difference spectrum of singular value
- 网络与信息安全学报 2016年2卷第7期页码：69-75
- 作者机构：
- 作者简介：
  
  [ "姚艳丽（1991-），女，湖北枝江人，成都信息工程大学硕士生，主要研究方向为信号处理、信息安全、侧信道攻击与防御。" ]
  [ "吴震（1975-），男，江苏苏州人，成都信息工程大学副教授，主要研究方向为信息安全、密码学、侧信道攻击与防御、信息安全设备设计与检测。" ]
  [ "饶金涛（1985-），男，湖北黄冈人，硕士，成都信息工程大学助教，主要研究方向为信息安全、嵌入式系统安全、侧信道攻击与防御。" ]
  [ "王敏（1977-），女，四川资阳人，博士，成都信息工程大学讲师，主要研究方向为网络攻防、侧信道攻击与防御。" ]
  [ "杜之波（1982-），男，山东冠县人，硕士，成都信息工程大学讲师，主要研究方向为信息安全、侧信道攻击与防御、天线应用和物联网安全。" ]
- 基金信息：
  
  国家重大科技专项基金资助项目;The National Science and Technology Major Project(2014ZX01032401-001);国家高技术研究发展计划（“863”计划）基金资助项目;The National High Tech-nology Research and Development Program (863 Program)(2012AA01A403);“十二五”国家密码发展基金资助项目;“The 12th Five-Years” National Cryptogram Development Fund(MMJJ201101022);四川省科技支撑计划基金资助项目;Sichuan Provincial Science and Technology Support Programmer(2014GZ0148);四川省教育厅重点科研基金资助项目;Sichuan Provincial Education Department Key Scientific Research Project(13ZA0091);成都信息工程大学科研基金资助项目;The Scientific Research Foundation of CUIT(CRF201301);成都信息工程大学中青年学术带头人科研基金资助项目;The Scientific Research Foundation of the Young and Middle-aged Academic Leaders of CUIT(J201610)
- DOI：10.11959/j.issn.2096-109x.2016.00069
  中图分类号： TP309/TN911
- 网络首发：2016-07，
  
  纸质出版：2016-07-15
- 稿件说明：
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姚艳丽, 吴震, 饶金涛, 等. 基于EMD与奇异值差分谱的侧信道信号特征提取[J]. 网络与信息安全学报, 2016,2(7):69-75.

Yan-li YAO, Zhen WU, Jin-tao RAO, et al. 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.
姚艳丽, 吴震, 饶金涛, 等. 基于EMD与奇异值差分谱的侧信道信号特征提取[J]. 网络与信息安全学报, 2016,2(7):69-75. DOI： 10.11959/j.issn.2096-109x.2016.00069.

Yan-li YAO, Zhen WU, Jin-tao RAO, et al. 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. DOI： 10.11959/j.issn.2096-109x.2016.00069.

摘要

为了从强烈的背景噪声中提取侧信道信号的特征信息，提出了一种基于经验模式分解（EMD）与奇异值差分谱相结合的信号特征提取方法。该方法首先对原始侧信道信号进行EMD分解，计算各个特征模态函数（IMF）与原始信号的相关系数，找到最大相似特征分量；再对该分量进行奇异值分解求出对应的奇异值差分谱；最后根据差分谱进行重构和消噪，进一步提取分量的特征信息。实验结果表明，该方法可以有效应用于侧信道信号的特征提取，成功提高信号的信噪比和攻击成功率。

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.

关键词

Keywords

references

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