syslrn: Learning What to Monitor for Efficient Anomaly Detection.
Davide SanvitoGiuseppe SiracusanoSharan SanthanamRoberto GonzalezRoberto BifulcoPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised learning
- learning process
- connectionist systems
- anomalous behavior
- network traffic
- active learning
- computer security
- learning algorithm
- reinforcement learning
- detect anomalies
- supervised learning
- network intrusion detection
- behavior analysis
- text mining
- association rules
- intrusion detection system
- image segmentation
- learning problems
- detecting anomalous
- genetic algorithm