Hardware Trojans classification for gate-level netlists based on machine learning.
Kento HasegawaMasaru OyaMasao YanagisawaNozomu TogawaPublished in: IOLTS (2016)
Keyphrases
- machine learning
- pattern recognition
- decision trees
- machine learning methods
- machine learning algorithms
- supervised machine learning
- supervised learning
- supervised classification
- machine learning approaches
- support vector machine svm
- automatic classification
- pattern classification
- classification accuracy
- support vector machine
- classification algorithm
- low cost
- classification method
- computer vision
- classification scheme
- artificial intelligence
- unsupervised learning
- text classification
- feature construction
- hardware and software
- decision rules
- classification systems
- semi supervised learning
- real time
- computer systems
- knowledge acquisition
- image classification
- support vector
- training samples
- feature vectors
- data analysis
- feature space
- information extraction
- machine learning models
- roc analysis
- feature selection
- training data
- massively parallel
- computing systems
- semi supervised
- classification models
- inductive learning
- steady state
- model selection
- class labels