Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions.
Nor Zakiah GormentAli SelamatLim Kok ChengOndrej KrejcarPublished in: IEEE Access (2023)
Keyphrases
- current challenges
- future directions
- malware detection
- learning algorithm
- malicious executables
- lessons learned
- anomaly detection
- machine learning
- training data
- utmost importance
- current trends
- active learning
- current status
- learning process
- application programming interface
- reinforcement learning
- data mining
- databases
- case study
- e learning
- real world