Hardware Trojan Detection at LUT: Where Structural Features Meet Behavioral Characteristics
Author:
Affiliation:
1. College of Informatics, Huazhong Agricultural University,Wuhan,China,430070
2. School of Cybersecurity, Northwestern Polytechnical University,Xi'an,China,710072
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9839666/9839669/09840276.pdf?arnumber=9840276
Reference12 articles.
1. FANCI
2. Variation-Aware Hardware Trojan Detection through Power Side-channel
3. Hardware Trojans Detection Through RTL Features Extraction and Machine Learning
4. A Hardware-Trojan Classification Method Using Machine Learning at Gate-Level Netlists Based on Trojan Features
5. HTnet: Transfer Learning for Golden Chip-Free Hardware Trojan Detection
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1. Hunting for Hardware Trojan in Gate Netlist: A Stacking Ensemble Learning Perspective;2023 IEEE International Test Conference in Asia (ITC-Asia);2023-09-12
2. Device-specific security challenges and solution in IoT edge computing: a review;The Journal of Supercomputing;2023-06-17
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