Research and Implementation of Power Analysis Based on Moving Average

WANG Jianxin; FANG Huawei; DUAN Xiaoyi; SHE Gaojian

doi:10.11999/JEIT160637

Volume 39 Issue 5

May 2017

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WANG Jianxin, FANG Huawei, DUAN Xiaoyi, SHE Gaojian. Research and Implementation of Power Analysis Based on Moving Average[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1256-1260. doi: 10.11999/JEIT160637

Citation:

WANG Jianxin, FANG Huawei, DUAN Xiaoyi, SHE Gaojian. Research and Implementation of Power Analysis Based on Moving Average[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1256-1260. doi: 10.11999/JEIT160637

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Research and Implementation of Power Analysis Based on Moving Average

doi: 10.11999/JEIT160637

Funds:

Beijing Municipal Natural Science Foundation (4163076), The Foundation of Beijing Electronic Science and Technology Institute (328201505, 328201508)

Received Date: 2016-06-16
Rev Recd Date: 2017-02-08
Publish Date: 2017-05-19

Abstract

Abstract

In order to improve the efficiency of attack and reduce the influence of noise on power analysis, a growing number of preprocessing methods are discussed and numerous remarkable results are reported. The AES-128 algorithm running on the ATmega16 is taken as the target in this paper. The original energy curves are moved average and the optimal parameter of moving average filter is determined by Correlation Power Analysis (CPA) subsequently. The experimental results demonstrate that compared with the original data and the data after Hanning window low-pass filter, the correlation coefficient obtained by the correct key with the using of moving average filter is evidently promoted, while the correlation coefficient obtained by the incorrect key is decreased. With the moving average approaching, the process of the ten encryption of AES-128 can be discovered obviously. The peak of Differential Power Analysis (DPA)obtained by the data using moving average is more obvious than that obtained by the original data. Numerical results show that the moving average approaching can improve the efficiency of power analysis evidently.
- Power analysis attact,
- Pretreatment,
- Moving average,
- Low-pass filter

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References(29)

References

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