基于在线计数的改进快速泄露评估

doi:10.11959/j.issn.2096-109x.2021017

Abstract

Abstract:

Fast leakage assessment (FLA) was proposed in 2017, which made use of the idea of ＆quot;counter＆quot; and significantly improves the computing efficiency.The performance of FLA was analyzed, an online-counting based method was proposed to improve the evaluation flow, and the method was also validated via FPGA implementation.According to the comparisons of experimental results, the proposed method could not only decrease the required memory but also lower the runtime of the evaluation flow.Hence it can improve the evaluation efficiency significantly.

Key words: leakage assessment, online processing, efficient computation, side-channel countermeasures

CLC Number:

TP309

Zhengguang SHI, Mengce ZHENG, Honggang HU, Nenghai YU. Improved fast leakage assessment based on online counting[J]. Chinese Journal of Network and Information Security, 2021, 7(2): 141-150.

Figures/Tables 5

符号名	说明
$\frac{D^{f}}{D^{r}}$	固定输入/随机输入对应的能量曲线集合
$\frac{T_{i}^{f}}{T_{i}^{r}}$	$\frac{D^{f}}{D^{r}}$ 中的第i条能量曲线
$\frac{N_{0}}{N_{1}}$	$\frac{D^{f}}{D^{r}}$ 中的能量曲线条数
$\frac{τ_{i, j}^{f}}{τ_{i, j}^{r}}$	$\frac{T_{i}^{f}}{T_{i}^{r}}$ 上第j个采样点的值
$N_{p}$	每条能量曲线上的采样点数量
$\frac{D_{, j}^{f}}{D_{, j}^{r}}$	$\frac{D^{f}}{D^{r}}$ 矩阵的第j列
$\frac{H^{f}}{H^{r}}$	$\frac{D^{f}}{D^{r}}$ 对应生成的计数矩阵
$\frac{H_{, j}^{f}}{H_{, j}^{r}}$	$\frac{H^{f}}{H^{r}}$ 矩阵的第j列
$\frac{M_{j}^{f}}{M_{j}^{r}}$	$\frac{D_{, j}^{f}}{D_{, j}^{r}}$ 中数据的均值
$\frac{S_{j}^{f}}{S_{j}^{r}}$	$\frac{D_{, j}^{f}}{D_{, j}^{r}}$ 中数据的方差

References 13

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Improved fast leakage assessment based on online counting

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