IEICE Electronics Express
Online ISSN : 1349-2543
Hardware Trojans classification based on controllability and observability in gate-level netlist
Xin XieYangyang SunHongda ChenYong Ding
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2017 Volume 14 Issue 18 Pages 20170682


This paper presents a hardware Trojan classification method that performs a static analysis in gate-level netlist. Based on the controllability and observability characteristics extracted in a circuit, the nets are clustered into two groups with the k-means method. Then inter-cluster distance is measured and taken as the major feature for Trojan identification. By combined with three other features in terms of circuit scale statistic number, a complementary representation of Trojan circuits is constructed. Finally, a support vector machine classifier is trained to distinguish the Trojan circuits from genuine circuits. Experimental results on Trust-HUB benchmarks demonstrate that our method can achieve up to 100% true positive rate.

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© 2017 by The Institute of Electronics, Information and Communication Engineers
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