Accurate Hardware Trojan Detection Technology Based on Node Concealment Features
Author:
Affiliation:
1. Shanghai University of Electric Power,College of Computer Science and Technology,Shanghai,China,201306
Funder
Chinese Academy of Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10661305/10661306/10661355.pdf?arnumber=10661355
Reference20 articles.
1. A Survey on Machine Learning Against Hardware Trojan Attacks: Recent Advances and Challenges
2. Exploiting sub-graph isomorphism and probabilistic neural networks for the detection of hardware Trojans at RTL
3. Hardware Trojan Detection using Graph Neural Networks
4. Hardware Trojans classification for gate-level netlists using multi-layer neural networks
5. Evaluation on Hardware-Trojan Detection at Gate-Level IP Cores Utilizing Machine Learning Methods
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