Towards malware detection based on performance counters using deep learning classification models.
Omar MohamedCiprian-Bogdan ChirilaPublished in: SACI (2022)
Keyphrases
- deep learning
- classification models
- malware detection
- unsupervised learning
- malicious executables
- anomaly detection
- decision trees
- machine learning
- training data
- unsupervised feature learning
- feature selection
- models built
- mental models
- feature space
- weakly supervised
- active learning
- supervised learning
- feature set
- pattern recognition
- feature subset
- computer vision
- neural network