Trace Alignment Preprocessing in Side-Channel Analysis Using the Adaptive Filter

被引:1
|
作者
Gu, Shuyi [1 ,2 ,3 ]
Luo, Zhenghua [1 ,2 ,3 ]
Chu, Yingjun [2 ,3 ]
Xu, Yanghui [4 ]
Jiang, Ying [2 ,3 ]
Guo, Junxiong [1 ]
机构
[1] Chengdu Univ, Sch Elect Informat & Elect Engn, Chengdu 610106, Peoples R China
[2] Fifth Inst Telecommun Sci & Technol, Chengdu 610036, Peoples R China
[3] Sichuan Time Frequency Synchronizat Syst & Applica, Chengdu 610062, Peoples R China
[4] Chengdu Jinjiang Elect Syst Engn Co Ltd, Chengdu 610051, Peoples R China
基金
中国国家自然科学基金;
关键词
Signal to noise ratio; Adaptive filters; Correlation; Finite impulse response filters; Discrete Fourier transforms; Resists; Mathematical models; Side-channel analysis; differential power analysis; trace alignment; adaptive filter; least mean squares; CORRELATION POWER ANALYSIS; ALGORITHM; IMPLEMENTATIONS;
D O I
10.1109/TIFS.2023.3310350
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Trace alignment can improve the subsequent side-channel analysis against the trace. Most current trace alignment schemes are, however, typically operated under a high signal-to-noise ratio (SNR), which demands them to be noise reduced before alignment when practical applications in the complex environment. In this paper, we propose a novel strategy for applying adaptive filtering in trace alignment preprocessing under low SNR conditions. The approach selects a trace as the reference signal of the adaptive filter, and the impulse response describing the trace offset is calculated iteratively for each trace. Different from conventional trace alignment methods, the error between the two traces in iteration determines how to eliminate the offset between trace, which eliminate most of the noise effects in the iteration process. In parallel, the filter after iterating will also function as a low-pass filter in the alignment process. Experimental studies based on three side-channel datasets demonstrate the efficacy of the proposed approach. Compared with other alignment methods, with the reasonable computational resource cost and complexity, the average number of traces required has reduced the average number of traces required by 75%, the average confidence has improved by 60%, and the success rate has increased by 72%. Our approach provides great potential for applications in trace alignment preprocessing of side-channel analysis.
引用
收藏
页码:5580 / 5591
页数:12
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