Survey: Hardware Trojan Detection for Netlist

被引：8

作者：

Yang, Yipei ^{[1
,2
]}

Ye, Jing ^{[1
,2
]}

Cao, Yuan ^{[3
]}

Zhang, Jiliang ^{[4
,5
]}

Li, Xiaowei ^{[1
,2
]}

Li, Huawei ^{[1
,2
,5
]}

Hu, Yu ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing, Peoples R China

[2] Univ Chinese Acad Sci, Beijing, Peoples R China

[3] Hohai Univ, Nanjing, Peoples R China

[4] Hunan Univ, Changsha, Peoples R China

[5] Peng Cheng Lab, Shenzhen, Peoples R China

来源：

2020 IEEE 29TH ASIAN TEST SYMPOSIUM (ATS) | 2020年

基金：

湖南省自然科学基金; 中国国家自然科学基金;

关键词：

hardware security; hardware Trojan detection; gate-level netlist; CLASSIFICATION;

D O I：

10.1109/ats49688.2020.9301614

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The development of integrated circuit technology is accompanied by potential threats. Malicious modifications to circuits, known as hardware Trojans, are major security concerns. This paper gives a survey of hardware Trojan detection methods towards gate-level netlists. The detection methods are divided into search-based, threshold-based, and machine learning-based ones. This paper compares and analyzes existing works from aspects of feature selection, data balancing techniques, classification criterion, detection range. The experimental results are also selected for comparison.

引用

页码：48 / 53

页数：6

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