Trojan-feature extraction at gate-level netlists and its application to hardware-Trojan detection using random forest classifier.
Kento HasegawaMasao YanagisawaNozomu TogawaPublished in: ISCAS (2017)
Keyphrases
- feature extraction
- low cost
- image processing
- false alarms
- false positives
- detection method
- face recognition
- preprocessing
- automatic detection
- detection algorithm
- detection accuracy
- pattern classification
- real time
- anomaly detection
- object detection
- discriminant analysis
- feature vectors
- feature space
- higher level
- frequency domain
- data acquisition
- detection rate
- hardware and software
- personal computer
- pattern recognition
- feature selection