A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things.
Chen DongJinghui ChenWenzhong GuoJian ZouPublished in: Int. J. Distributed Sens. Networks (2019)
Keyphrases
- machine learning
- detection algorithm
- low cost
- high end
- data mining
- artificial intelligence
- false alarms
- machine learning methods
- computer systems
- detection method
- real time
- knowledge acquisition
- pattern recognition
- decision trees
- computer vision
- learning tasks
- automatic detection
- database architectures
- learning algorithm
- high speed
- data analysis
- detection rate
- hardware and software
- image processing
- error detection
- key technologies
- embedded systems
- supervised learning
- machine learning algorithms
- operating system
- knowledge representation
- text mining