本文選題：歐式距離判別 + 硬件木馬檢測(cè)��； 參考：《計(jì)算機(jī)工程》2017年06期

【摘要】：傳統(tǒng)歐式距離判別方法用于硬件木馬檢測(cè)時(shí),存在判別準(zhǔn)確率較低的問題。為此,分析芯片運(yùn)行時(shí)的側(cè)信道功耗信息,根據(jù)木馬模塊觸發(fā)產(chǎn)生額外功耗的特征,提出一種指數(shù)變換改進(jìn)方案。加入可調(diào)參數(shù),以增大硬件木馬的可識(shí)別度。實(shí)驗(yàn)結(jié)果表明,與傳統(tǒng)歐氏距離判別法相比,參數(shù)可調(diào)的歐氏距離改進(jìn)方案可使判別性能提升29%,且木馬檢測(cè)準(zhǔn)確率高達(dá)98%。
[Abstract]:When the traditional Euclidean distance discriminant method is used to detect the hardware Trojan horse, it has the problem of low accuracy. This paper analyzes the power consumption information of the side channel when the chip is running, and puts forward an improved scheme of exponential transformation according to the characteristics of extra power generated by the trigger of Trojan horse module. Add adjustable parameters to increase the recognition of hardware Trojans. The experimental results show that, compared with the traditional Euclidean distance discriminant, the improved Euclidean distance with adjustable parameters can improve the discriminant performance by 29%, and the detection accuracy of Trojan horse is as high as 98%.
【作者單位】： 北京電子科技學(xué)院電子信息工程系;
【基金】：中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金(2014GCYY04)
【分類號(hào)】：TN407
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本文編號(hào)：1833808