Discrete neural representations for explainable anomaly detection.
Stanislaw SzymanowiczJames CharlesRoberto CipollaPublished in: WACV (2022)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- unsupervised anomaly detection
- network intrusion detection
- network anomaly detection
- network traffic
- anomalous behavior
- neural network
- detecting anomalous
- negative selection algorithm
- intrusion detection system
- computer security
- unsupervised learning
- detect anomalies
- malware detection
- one class support vector machines
- reinforcement learning
- pattern recognition
- machine learning
- behavior analysis
- self organizing maps
- clustering algorithm
- cumulative sum
- real world