Comparison of Pearson correlation coefficient and distance correlation in Correlation Power Analysis on Digital Multiplier
Comparison of Pearson correlation coefficient and distance correlation in Correlation Power Analysis on Digital Multiplier
复制标题
DOI：
10.23919/mipro48935.2020.9245325
复制
发表时间：
2020-09
期刊：
影响因子：
--
通讯作者：
Jurica Kundrata;Daisuke Fujimoto;Y. Hayashi;A. Barić
中科院分区：
文献类型：
--
作者：
Jurica Kundrata;Daisuke Fujimoto;Y. Hayashi;A. Barić
相关功率分析（CPA）是一种侧信道攻击（SCA），它利用通过电源电流和电压泄漏的信息，或被攻击数字系统的电磁辐射。它使用大量电源测量的统计分析来检索数字系统的秘密。相关功率分析使用与被攻击系统的测量相关的多个假设的秘密密钥。通常相关功率分析使用Pearson相关系数，但是中间值和电源测量值可以具有非线性关系。本文探讨了距离相关在相关功效分析中的应用，并与皮尔逊相关系数进行了比较。该比较基于对输入消息和密钥的乘法运算的侧信道攻击。比较结果表明，距离相关比皮尔逊相关系数对正确密钥有更高的显著性。
Correlation power analysis (CPA) is a side-channel attack (SCA) which exploits the information leaked through the power supply current and voltage, or the electromagnetic emissions of the attacked digital system. It uses statistical analysis of a large number of power supply measurements to retrieve the secrets of the digital system. Correlation power analysis uses a number of hypothetical secret keys which are correlated to the measurements of the attacked system. Usually correlation power analysis uses the Pearson correlation coefficient, but the intermediary values and the power supply measurements can have a nonlinear relationship. The paper investigates the application of the distance correlation in the correlation power analysis and compares it to the Pearson correlation coefficient. The comparison is based on a side-channel attack on a multiplication operation of an input message and a secret key. The results of the comparison show that the distance correlation achieves a higher prominence of the correct secret key than the Pearson correlation coefficient.