Learning Memory-guided Normality for Anomaly Detection.
Hyunjong ParkJongyoun NohBumsub HamPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- intrusion detection
- connectionist systems
- network intrusion detection
- network traffic
- unsupervised learning
- intrusion detection system
- learning algorithm
- high dimensional
- behavior analysis
- supervised learning
- learning process
- data mining techniques
- evolutionary algorithm
- detect anomalies
- one class support vector machines
- negative selection algorithm
- detecting anomalous
- unsupervised anomaly detection