Deep Learning Based Approach for Hardware Trojan Detection
Author:
Affiliation:
1. Amrita Vishwa Vidyapeetham,Center for Cybersecurity Systems and Networks,Amritapuri,India
2. Microelectronic Circuits Centre Ireland (MCCI),Cork,Ireland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9700979/9700995/09701067.pdf?arnumber=9701067
Reference19 articles.
1. Real-Time Anomaly Detection Framework for Many-Core Router through Machine-Learning Techniques
2. A Hardware-Trojan Classification Method Using Machine Learning at Gate-Level Netlists Based on Trojan Features
3. A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things
4. A Novel Golden Models-Free Hardware Trojan Detection Technique Using Unsupervised Clustering Analysis
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1. Accurate Hardware Trojan Detection Technology Based on Node Concealment Features;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18
2. A Siamese deep learning framework for efficient hardware Trojan detection using power side-channel data;Scientific Reports;2024-06-06
3. A Siamese Deep Learning Framework for Efficient Hardware Trojan Detection Using Power Side-Channel Data;2024-02-08
4. Detection Method of Hardware Trojan Based on Attention Mechanism and Residual-Dense-Block under the Markov Transition Field;Journal of Electronic Testing;2023-12
5. Detection method of Golden Chip-Free Hardware Trojan based on the combination of ResNeXt structure and attention mechanism;Computers & Security;2023-11
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