Side Channel Analysis Optimization Method Based on Data Preprocessing

ZHAO Yiqiang; WANG Qingya; MA Haocheng; ZHANG Qizhi; YE Mao; WANG Hanning; HE Jiaji

doi:10.11999/JEIT211462

Volume 45 Issue 1

Jan. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(1): 49-58

ZHAO Yiqiang, WANG Qingya, MA Haocheng, ZHANG Qizhi, YE Mao, WANG Hanning, HE Jiaji. Side Channel Analysis Optimization Method Based on Data Preprocessing[J]. Journal of Electronics & Information Technology, 2023, 45(1): 49-58. doi: 10.11999/JEIT211462

Citation:

ZHAO Yiqiang, WANG Qingya, MA Haocheng, ZHANG Qizhi, YE Mao, WANG Hanning, HE Jiaji. Side Channel Analysis Optimization Method Based on Data Preprocessing[J]. Journal of Electronics & Information Technology, 2023, 45(1): 49-58. doi: 10.11999/JEIT211462

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Side Channel Analysis Optimization Method Based on Data Preprocessing

doi: 10.11999/JEIT211462

1.
School of Microelectronics, Tianjin University, Tianjin 300072, China
2.
School of Integrated Circuits, Tsinghua University, Beijing 100084, China

Funds: The National Key Research and Development Plan (2021YFB3100903), The National Natural Science Foundation of China (62004112)

Received Date: 2021-12-08
Accepted Date: 2022-03-09
Rev Recd Date: 2022-02-28

Available Online: 2022-03-16

Publish Date: 2023-01-17

Abstract

Abstract

The electromagnetic side channel information has the characteristics of complexity, disorder and low signal-to-noise ratio, which has a great impact on the results of side channel analysis. Based on the characteristics of electromagnetic data, in this paper, an alignment method using maximum correlation difference is proposed, which estimates the delay based on the similarity between the autocorrelation function of the reference signal and the cross-correlation function of the signal to be aligned. At the same time, a noise reduction method of K Singular Value Decomposition(KSVD) dictionary learning is proposed, which performs alternately sparse coding and dictionary update to filter out high-frequency noise. In order to verify the optimization effect of the data preprocessing method on the side channel analysis results, an electromagnetic side channel evaluation system is designed and built, and the near-field electromagnetic side channel information collection and analysis are carried out based on the actual chip. The proposed preprocessing method is used in this paper to align and reduce noise of electromagnetic data, and through t-test leakage assessment and correlation electromagnetic analysis, the maximum correlation coefficient alignment and wavelet noise reduction methods are compared, which can improve the efficiency of side-channel attacks 29.91% and 55.23%.
- Data preprocessing,
- Near-field electromagnetic analysis,
- Safety evaluation,
- K Singular Value Decomposition (KSVD),
- Maximum correlation difference

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References(19)

References

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