基于滑動(dòng)平均的能量分析攻擊研究與實(shí)現(xiàn)

王建新; 方華威; 段曉毅; 佘高健

doi:10.11999/JEIT160637

基于滑動(dòng)平均的能量分析攻擊研究與實(shí)現(xiàn)

doi: 10.11999/JEIT160637 cstr: 32379.14.JEIT160637

基金項(xiàng)目:

北京市自然科學(xué)基金(4163076)，北京電子科技學(xué)院基金(328201505, 328201508)

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出版歷程
- 收稿日期: 2016-06-16
- 修回日期: 2017-02-08
- 刊出日期: 2017-05-19

Research and Implementation of Power Analysis Based on Moving Average

Funds:

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

摘要

摘要: 在能量分析攻擊中，為了提高攻擊效率，減少噪聲的影響，越來越多的預(yù)處理方法被使用，取得了很多顯著的效果。該文以在ATmega16上運(yùn)行的AES-128算法作為攻擊目標(biāo)，對(duì)采集的原始能量曲線進(jìn)行滑動(dòng)平均濾波，再通過相關(guān)能量分析(Correlation Power Analysis, CPA)攻擊確定滑動(dòng)平均濾波的最優(yōu)參數(shù)。通過與原始數(shù)據(jù)和經(jīng)過Hanning窗低通濾波器濾波后的數(shù)據(jù)對(duì)比，可以看出經(jīng)過滑動(dòng)平均濾波處理后，使用正確密鑰所得的CPA相關(guān)系數(shù)較原始數(shù)據(jù)或低通濾波處理后所得系數(shù)大，而錯(cuò)誤密鑰所得相關(guān)系數(shù)小。經(jīng)過滑動(dòng)平均處理后，不僅可以發(fā)現(xiàn)AES-128的10輪加密過程，而且經(jīng)過差分能量分析攻擊所得的尖峰較原始的更為明顯。實(shí)驗(yàn)結(jié)果表明經(jīng)過滑動(dòng)平均濾波預(yù)處理后，能量分析攻擊的效率可明顯提高。
- 能量分析攻擊 /
- 預(yù)處理 /
- 滑動(dòng)平均 /
- 低通濾波
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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