1. 南京航空航天大学计算机科学与技术学院,江苏,南京,210016
2. 东南大学信息科学与工程学院,江苏,南京,210096
3. 中国民航大学中国民航信息技术科研基地,天津,300300
4. 软件新技术与产业化协同创新中心,江苏,南京,210023
5. 南京航空航天大学计算机科学与技术学院,江苏,南京,210016
6. 东南大学信息科学与工程学院,江苏,南京,210096
7. 中国民航大学中国民航信息技术科研基地,天津,300300
8. 软件新技术与产业化协同创新中心,江苏,南京,210023
网络出版:2016-05-25,
纸质出版:2016
移动端阅览
薛明富, 胡爱群, 王箭. 基于探索式分区和测试向量生成的硬件木马检测方法[J]. 电子学报, 2016,44(5):1132-1138.
XUE Ming-fu, HU Ai-qun, WANG Jian. A Novel Hardware Trojan Detection Technique Using Heuristic Partition and Test Pattern Generation[J]. Acta Electronica Sinica, 2016, 44(5): 1132-1138.
薛明富, 胡爱群, 王箭. 基于探索式分区和测试向量生成的硬件木马检测方法[J]. 电子学报, 2016,44(5):1132-1138. DOI: 10.3969/j.issn.0372-2112.2016.05.017.
XUE Ming-fu, HU Ai-qun, WANG Jian. A Novel Hardware Trojan Detection Technique Using Heuristic Partition and Test Pattern Generation[J]. Acta Electronica Sinica, 2016, 44(5): 1132-1138. DOI: 10.3969/j.issn.0372-2112.2016.05.017.
本文提出基于分区和最优测试向量生成的硬件木马检测方法.首先
采用基于扫描细胞分布的分区算法将电路划分为多个区域.然后
提出测试向量重组算法
对各区域依据其自身结构生成近似最优的测试向量.最后
进行分区激活和功耗分析以检测木马
并采用信号校正技术消减制造变异和噪声的影响.优点是成倍提高了检测精度
克服了制造变异的影响
解决了面对大电路的扩展性问题
并可以定位木马.在基准电路上的验证实验表明检测性能有较大的提升.
A novel hardware Trojan detection method based on heuristic partition and optimal test pattern generation is proposed.First
we use a scan cell distribution based heuristic partition to divide the circuit into regions.Then
we propose a test vector ordering algorithm to generate near-optimal test patterns based on the circuit's structure.Lastly
we activate each region separately and perform localized I
DDT
analysis to detect hardware Trojans while a signal calibration technique is used to eliminate the effect of process variations and noises.The benefits of this approach are that it can magnify detection sensitivity
eliminate the effects of process variations and noises
ensure the scalability of hardware Trojan detection facing large scale ICs
and deter
mine Trojan's location.We evaluate our approach on benchmark circuits and the experiment results show that the detection sensitivity is greatly improved.
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