A Novel Hardware Trojan Detection Technique Using Heuristic Partition and Test Pattern Generation

XUE Ming-fu; HU Ai-qun; WANG Jian

doi:10.3969/j.issn.0372-2112.2016.05.017

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A Novel Hardware Trojan Detection Technique Using Heuristic Partition and Test Pattern Generation

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- A Novel Hardware Trojan Detection Technique Using Heuristic Partition and Test Pattern Generation
- Acta Electronica Sinica Vol. 44, Issue 5, Pages: 1132-1138(2016)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  Natural Science Foundation of Jiangsu Province Youth Fund (No.BK20150758);General Program of China Postdoctoral Science Foundation (No.2014M561644);Funded by Postdoctoral Foundation of Jiangsu Province (No.1402034C);Open Project Fund of Information Technology Research Base of Civil Aviation Administration of China (No.CAAC-ITRB-201405);Supported by Fundamental Research Funds for the Central Universities (No.NS2016096)
- DOI：10.3969/j.issn.0372-2112.2016.05.017
  CLC： TP309
- Published Online：25 May 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
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：

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.

摘要

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.

Abstract

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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