A time-interval-based active learning framework for enhanced PE malware acquisition and detection.
Ido FinderEitam SheetritNir NissimPublished in: Comput. Secur. (2022)
Keyphrases
- malware detection
- false positives
- detection accuracy
- active learning
- object detection
- change detection
- active learning framework
- malicious executables
- false alarms
- temporal information
- database
- detection method
- automatic detection
- temporal reasoning
- computer vision
- machine learning
- hidden markov models
- object recognition
- real valued
- reverse engineering
- learning environment
- website
- temporal relations
- detection scheme
- genetic algorithm