Designing hardware trojans and their detection based on a SVM-based approach.
Tomotaka InoueKento HasegawaMasao YanagisawaNozomu TogawaPublished in: ASICON (2017)
Keyphrases
- support vector machine svm
- support vector
- feature selection
- support vector machine
- detection algorithm
- training data
- low cost
- hardware and software
- automatic detection
- detection method
- knn
- multi class
- false positives
- svm classifier
- parallel hardware
- detection accuracy
- false alarms
- data acquisition
- object detection
- active learning
- object recognition
- neural network
- event detection
- image processing
- embedded systems
- computer systems
- generalization ability
- personal computer
- image classification
- hardware design
- multi class svm