An Improved Empirical Mode Decomposition for Power Analysis Attack
文献类型：期刊论文
| 作者 | Gan Han1; Zhang Hongxin1; Khan Muhammad Saad1; Wang Xueli3; Zhang Fan4; He Pengfei5 |
| 刊名 | CHINA COMMUNICATIONS
 |
| 出版日期 | 2017 |
| 卷号 | 14期号:9页码:94-99 |
| 关键词 | power analysis attack EMD IMF correlation power analysis RPIs |
| ISSN号 | 1673-5447 |
| 其他题名 | An Improved Empirical Mode Decomposition for Power Analysis Attack |
| 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. |
| 语种 | 英语 |
| CSCD记录号 | CSCD:6063034 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/35057]  |
| 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. |
入库方式： OAI收割
来源：烟台海岸带研究所
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