On the appropriateness of evolutionary rule learning algorithms for malware detection.
M. Zubair ShafiqS. Momina TabishMuddassar FarooqPublished in: GECCO (Companion) (2009)
Keyphrases
- malware detection
- learning algorithm
- malicious executables
- anomaly detection
- application programming interface
- active learning
- evolutionary computation
- machine learning algorithms
- learning problems
- genetic algorithm
- machine learning
- training data
- association rules
- reinforcement learning
- databases
- learning tasks
- object recognition
- learning process
- distributed systems
- information systems
- decision tree learning