Hunting for Hardware Trojan in Gate Netlist: A Stacking Ensemble Learning Perspective
Author:
Affiliation:
1. Northwestern Polytechnical University,School of Cybersecurity,China
2. Beijing Microelectronics Technology Institute,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10301149/10301156/10301162.pdf?arnumber=10301162
Reference19 articles.
1. COTD: Reference-Free Hardware Trojan Detection and Recovery Based on Controllability and Observability in Gate-Level Netlist
2. Hardware-Trojan Detection at Gate-level Netlists using Gradient Boosting Decision Tree Models
3. A study of the behavior of several methods for balancing machine learning training data;batista;ACM SIGKDD Explorations Newsletter,2004
4. Hardware Trojan Detection at LUT: Where Structural Features Meet Behavioral Characteristics
5. A Threshold based Hardware Trojan Detection Technique Using XGBoost Algorithm
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