Securing IoT Chips from Hardware Trojan using Machine Learning Classifiers
Author:
Affiliation:
1. PSG College of Technology,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9967444/9967492/09967617.pdf?arnumber=9967617
Reference15 articles.
1. Detection technique for hardware Trojans using machine learning in frequency domain
2. Virtual Probe: A Statistical Framework for Low-Cost Silicon Characterization of Nanoscale Integrated Circuits
3. Hardware Trojan Detection by Multiple-Parameter Side-Channel Analysis
4. Hardware Trojans classification for gate-level netlists based on machine learning
5. Trojan-feature extraction at gate-level netlists and its application to hardware-Trojan detection using random forest classifier
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