An Improved Empirical Mode Decomposition for Power Analysis Attack

YIC-IR

	An Improved Empirical Mode Decomposition for Power Analysis Attack
其他题名	An Improved Empirical Mode Decomposition for Power Analysis Attack
	Gan Han 1; Zhang Hongxin 1; Khan Muhammad Saad 1; Wang Xueli 3; Zhang Fan 4; He Pengfei 5
发表期刊	CHINA COMMUNICATIONS
ISSN	1673-5447
	2017
卷号	14 期号:9 页码:94-99
关键词	power analysis attack EMD IMF correlation power analysis RPIs
英文摘要	Correlation power analysis (CPA) has become a successful attack method about crypto-graphic hardware to recover the secret keys. However, the noise influence caused by the random process interrupts (RPIs) becomes an important factor of the power analysis attack efficiency, which will cost more traces or attack time. To address the issue, an improved method about empirical mode decomposition (EMD) was proposed. Instead of restructuring the decomposed signals of intrinsic mode functions (IMFs), we extract a certain intrinsic mode function (IMF) as new feature signal for CPA attack. Meantime, a new attack assessment is proposed to compare the attack effectiveness of different methods. The experiment shows that our method has more excellent performance on CPA than others. The first and the second IMF can be chosen as two optimal feature signals in CPA. In the new method, the signals of the first IMF increase peak visibility by 64% than those of the tradition EMD method in the situation of non-noise. On the condition of different noise interference, the orders of attack efficiencies are also same. With external noise interference, the attack effect of the first IMF based on noise with 15dB is the best.
中文摘要	Correlation power analysis (CPA) has become a successful attack method about cryptographic hardware to recover the secret keys. However, the noise influence caused by the random process interrupts (RPIs) becomes an important factor of the power analysis attack efficiency, which will cost more traces or attack time. To address the issue, an improved method about empirical mode decomposition (EMD) was proposed. Instead of restructuring the decomposed signals of intrinsic mode functions (IMFs), we extract a certain intrinsic mode function (IMF) as new feature signal for CPA attack. Meantime, a new attack assessment is proposed to compare the attack effectiveness of different methods. The experiment shows that our method has more excellent performance on CPA than others. The first and the second IMF can be chosen as two optimal feature signals in CPA. In the new method, the signals of the first IMF increase peak visibility by 64% than those of the tradition EMD method in the situation of non-noise. On the condition of different noise interference, the orders of attack efficiencies are also same. With external noise interference, the attack effect of the first IMF based on noise with 15dB is the best.
收录类别	CSCD
语种	英语
CSCD记录号	CSCD:6063034
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/35058
专题	中国科学院烟台海岸带研究所
作者单位	1.Beijing University Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China 2.Beijing University Posts & Telecommun, Beijing Key Lab Work Safety Intelligent Monitorin, Beijing 100876, Peoples R China 3.Beijing University Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China 4.浙江大学 5.中国科学院烟台海岸带研究所
推荐引用方式 GB/T 7714	Gan Han,Zhang Hongxin,Khan Muhammad Saad,et al. An Improved Empirical Mode Decomposition for Power Analysis Attack[J]. CHINA COMMUNICATIONS,2017,14(9):94-99.
APA	Gan Han,Zhang Hongxin,Khan Muhammad Saad,Wang Xueli,Zhang Fan,&He Pengfei.(2017).An Improved Empirical Mode Decomposition for Power Analysis Attack.CHINA COMMUNICATIONS,14(9),94-99.
MLA	Gan Han,et al."An Improved Empirical Mode Decomposition for Power Analysis Attack".CHINA COMMUNICATIONS 14.9(2017):94-99.