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Neyman’s Smoothness Test: A Trade-Off Between Moment-Based and Distribution-Based Leakage Detections
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2021-08-30 , DOI: 10.1109/tifs.2021.3108570 Si Gao , Elisabeth Oswald , Yan Yan
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2021-08-30 , DOI: 10.1109/tifs.2021.3108570 Si Gao , Elisabeth Oswald , Yan Yan
Leakage detection tests have become an indispensable tool for testing implementations featuring side channel countermeasures such as masking. Whilst moment-based techniques such as the Welch’s $t$
-test are universally powerful if there is leakage in a central moment, they naturally fail if this is not the case. Distribution-based techniques such as the $\chi ^{2}$
-test then come to the rescue, but they have shown not to be robust with regards to noise. In this paper, we propose a novel leakage detection technique based on Neyman’s smoothness test. We find that our new test is robust with respect to noise (similar to the merit of Welch’s $t$
-test), and can pick up on leakage that is not located in central moments (similar to the merit of the $\chi ^{2}$
-test). We also find that there is a sweet-spot where Neyman’s test outperforms both the $t$
-test and the $\chi ^{2}$
-test. Realistic measurements confirm that such a sweet-spot is relevant in practice for detecting implementation flaws.
中文翻译:
Neyman 平滑度测试:基于矩的和基于分布的泄漏检测之间的权衡
泄漏检测测试已成为测试具有侧信道对抗措施(例如掩蔽)的实现必不可少的工具。虽然基于矩的技术,例如 Welch 的 $t$
-test 如果在中心时刻有泄漏,则普遍强大,如果不是这种情况,它们自然会失败。基于分布的技术,例如 $\chi ^{2}$
-test 然后来救援,但他们已经证明在噪音方面并不强大。在本文中,我们提出了一种基于 Neyman 平滑度测试的新型泄漏检测技术。我们发现我们的新测试在噪声方面是稳健的(类似于 Welch 的优点 $t$
-test),并且可以检测到不在中心矩的泄漏(类似于 $\chi ^{2}$
-测试)。我们还发现有一个甜蜜点,即 Neyman 的测试优于 $t$
- 测试和 $\chi ^{2}$
-测试。实际测量证实,这种甜蜜点在实践中与检测实施缺陷相关。
更新日期:2021-09-14
中文翻译:
Neyman 平滑度测试:基于矩的和基于分布的泄漏检测之间的权衡
泄漏检测测试已成为测试具有侧信道对抗措施(例如掩蔽)的实现必不可少的工具。虽然基于矩的技术,例如 Welch 的