Side channel leakage assessment with the Bartlett and multi-classes F-test

In order to solve the problem that when test vector leakage assessment (TVLA) technology is used for side channel leakage detection, the mean difference between the two groups of power consumption samples (fixed plaintext and random plaintext) is small, and the t-test may miss detection and lead to...

Full description

Saved in:
Bibliographic Details
Main Authors: Yaru WANG, Ming TANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021235/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539196779495424
author Yaru WANG
Ming TANG
author_facet Yaru WANG
Ming TANG
author_sort Yaru WANG
collection DOAJ
description In order to solve the problem that when test vector leakage assessment (TVLA) technology is used for side channel leakage detection, the mean difference between the two groups of power consumption samples (fixed plaintext and random plaintext) is small, and the t-test may miss detection and lead to false negative evaluation.The Bartlett and multi-classification F-test side channel leakage assessment method (Bartlett-F test) was proposed.In the Bartlett-F test, the Bartlett-test was used to the power samples with greater variance difference than mean difference to solve the problem of missing detection, and the multi-classification F-test was used to the power samples with greater mean difference than variance difference to solve the problem of false negative evaluation.In the test, there is leakage if the P-value is less than the threshold.The experimental results show that when the mean difference is less than the variance difference, the sample size required by Bartlett-test is 1.5×10<sup>4</sup> when the P-value of Bartlett-test is less than the threshold, while the sample size required by t-test is larger.When the variance difference is less than the mean difference, the sample size required by t-test is 2.0×10<sup>2</sup> when the P-value of t-test is less than the threshold, while the sample size required by F-test is only 1/10 of t-test.Therefore, Bartlett-F test can solve the problems of TVLA technology in leak detection.
format Article
id doaj-art-5f5a7dcbf4854332bfc28af2c5c5c775
institution Kabale University
issn 1000-436X
language zho
publishDate 2021-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-5f5a7dcbf4854332bfc28af2c5c5c7752025-01-14T07:23:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-12-0142354359746506Side channel leakage assessment with the Bartlett and multi-classes F-testYaru WANGMing TANGIn order to solve the problem that when test vector leakage assessment (TVLA) technology is used for side channel leakage detection, the mean difference between the two groups of power consumption samples (fixed plaintext and random plaintext) is small, and the t-test may miss detection and lead to false negative evaluation.The Bartlett and multi-classification F-test side channel leakage assessment method (Bartlett-F test) was proposed.In the Bartlett-F test, the Bartlett-test was used to the power samples with greater variance difference than mean difference to solve the problem of missing detection, and the multi-classification F-test was used to the power samples with greater mean difference than variance difference to solve the problem of false negative evaluation.In the test, there is leakage if the P-value is less than the threshold.The experimental results show that when the mean difference is less than the variance difference, the sample size required by Bartlett-test is 1.5×10<sup>4</sup> when the P-value of Bartlett-test is less than the threshold, while the sample size required by t-test is larger.When the variance difference is less than the mean difference, the sample size required by t-test is 2.0×10<sup>2</sup> when the P-value of t-test is less than the threshold, while the sample size required by F-test is only 1/10 of t-test.Therefore, Bartlett-F test can solve the problems of TVLA technology in leak detection.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021235/leakage detectionBartlett-testF-testthe test vector leakage assessment technologyt-testside channel attack
spellingShingle Yaru WANG
Ming TANG
Side channel leakage assessment with the Bartlett and multi-classes F-test
Tongxin xuebao
leakage detection
Bartlett-test
F-test
the test vector leakage assessment technology
t-test
side channel attack
title Side channel leakage assessment with the Bartlett and multi-classes F-test
title_full Side channel leakage assessment with the Bartlett and multi-classes F-test
title_fullStr Side channel leakage assessment with the Bartlett and multi-classes F-test
title_full_unstemmed Side channel leakage assessment with the Bartlett and multi-classes F-test
title_short Side channel leakage assessment with the Bartlett and multi-classes F-test
title_sort side channel leakage assessment with the bartlett and multi classes f test
topic leakage detection
Bartlett-test
F-test
the test vector leakage assessment technology
t-test
side channel attack
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021235/
work_keys_str_mv AT yaruwang sidechannelleakageassessmentwiththebartlettandmulticlassesftest
AT mingtang sidechannelleakageassessmentwiththebartlettandmulticlassesftest