A Hardware Trojan Detection and Diagnosis Method for Gate-Level Netlists Based on Machine Learning and Graph Theory
The integrated circuit (IC) supply chain has become globalized, thereby inevitably introducing hardware Trojan (HT) threats during the design stage. To safeguard the integrity and security of ICs, many machine learning (ML)-based solutions have been proposed. However, most existing methods lack cons...
Main Authors: | Junjie Wang, Guangxi Zhai, Hongxu Gao, Lihui Xu, Xiang Li, Zeyu Li, Zhao Huang, Changjian Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/13/1/59 |
Similar Items
-
Hybrid multi‐level hardware Trojan detection platform for gate‐level netlists based on XGBoost
by: Ying Zhang, et al.
Published: (2022-03-01) -
A fine-grained detection method for gate-level hardware Trojan base on bidirectional Graph Neural Networks
by: Dong Cheng, et al.
Published: (2023-12-01) -
A New Characterization of Hardware Trojans
by: Samer Moein, et al.
Published: (2016-01-01) -
Hardware Security in IoT Devices with Emphasis on Hardware Trojans
by: Simranjeet Sidhu, et al.
Published: (2019-08-01) -
Towards Trust Hardware Deployment of Edge Computing: Mitigation of Hardware Trojans Based on Evolvable Hardware
by: Zeyu Li, et al.
Published: (2022-06-01)