Non-specific TVLA method based on two-sample KS test

Test vector leakage assessment (TVLA) is prone to “false negative” when the power consumption sample size is small.To address this issue, it was found that for non-specific TVLA, when the power consumption sample size changes, the test statistic t-values obtained at the leakage sampling points in th...

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Veröffentlicht in:Tongxin Xuebao 2023-05, Vol.44, p.137-147
Hauptverfasser: Zhen ZHENG, Yingjian YAN, Juesong CAI, Yanjiang LIU
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Sprache:chi
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Zusammenfassung:Test vector leakage assessment (TVLA) is prone to “false negative” when the power consumption sample size is small.To address this issue, it was found that for non-specific TVLA, when the power consumption sample size changes, the test statistic t-values obtained at the leakage sampling points in the power trace vary accordingly, while the t-values at the non-leakage sampling points do not significantly vary.Therefore, when there is leakage, the distributions of the t-values obtained under different sample sizes will be different.Based on this, it was proposed to implement non-specific TVLA under different sample sizes and perform two-sample KS test on the obtained t-value sequences to evaluate whether there was leakage.Verifications were carried out based on unprotected-aligned simulation power consumption, protected-aligned power consumption dataset DPA Contest v4_2 and protected-non-aligned self-collected power consumption respectively.The results showed that the sample size required by the proposed method
ISSN:1000-436X