JOURNAL ARTICLE

A Hardware Trojan Detection Method Based on Structural Features of Trojan and Host Circuits

Qiang LiuPengyong ZhaoFuqiang Chen

Year: 2019 Journal:   IEEE Access Vol: 7 Pages: 44632-44644   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Modern IC designs often involve outsourced IP cores. It is convinced that there are opportunities in which the IP cores contain malicious logic, namely hardware Trojan (HT), which raises serious concerns about the trustworthiness of ICs used in mission-critical applications. This paper proposes an HT detection method by analyzing the combined structural features of HTs and host circuits. The structural features of combinational and sequential logic HTs are extracted and form an HT feature database. An efficient quantization approach on feature matching is proposed to search the features from circuit designs. The experiments conducted on TrustHub benchmarks show that the proposed method can successfully detect all stealth Trojans with runtime within 72 s on a platform with an AMD 2.00-GHz CPU with 4-GB RAM and a low false positive rate compared with the existing methods.

Keywords:
Trojan Hardware Trojan Computer science Host (biology) Feature (linguistics) Combinational logic Trustworthiness Embedded system Quantization (signal processing) Electronic circuit Matching (statistics) Computer hardware Logic gate Computer engineering Algorithm Engineering Computer security Electrical engineering

Metrics

25
Cited By
3.11
FWCI (Field Weighted Citation Impact)
29
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Physical Unclonable Functions (PUFs) and Hardware Security
Physical Sciences →  Computer Science →  Hardware and Architecture
Integrated Circuits and Semiconductor Failure Analysis
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
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