Evaluation on Hardware-Trojan Detection at Gate-Level IP Cores Utilizing Machine Learning Methods.
Tatsuki KuriharaKento HasegawaNozomu TogawaPublished in: IOLTS (2020)
Keyphrases
- machine learning methods
- machine learning
- machine learning algorithms
- low cost
- ensemble methods
- machine learning approaches
- hardware and software
- detection algorithm
- false positives
- real time
- automatic detection
- statistical methods
- processor core
- learned knowledge
- object detection
- detection rate
- end to end
- embedded systems
- anomaly detection
- false alarms
- parallel architectures
- domain knowledge
- multi core processors
- data mining