Hardware Trojan Detection Combine with Machine Learning: an SVM-based Detection Approach-Reference-Cited by-同舟云学术

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Hardware Trojan Detection Combine with Machine Learning: an SVM-based Detection Approach

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 13th International Conference on Anti-counterfeiting, Security, and Identification (ASID)
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Author:

Hu Taifeng,Wu Liji,Zhang Xiangmin,Yin Yanzhao,Yang Yijun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8910538/8924884/08924992.pdf?arnumber=8924992

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hardware trojan detection in ISCAS-89 circuits using supervised machine learning algorithms;2024 International Conference on Automation and Computation (AUTOCOM);2024-03-14

2. Design, threat analysis and countermeasures for cache replacement policy-affecting Hardware Trojans in the context of a many-core system;Microelectronics Journal;2023-12

3. Design and Implementation of Dual-Mode Support Vector Machine (SVM) Trainer and Classifier Chip Architecture for Human Disease Detection Applications;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-12

4. Hardware Security Risks and Threat Analyses in Advanced Manufacturing Industry;ACM Transactions on Design Automation of Electronic Systems;2023-09-09

5. BGNN-HT: Bidirectional Graph Neural Network for Hardware Trojan Cells Detection at Gate Level;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

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