Human-Interpretable Rules for Anomaly Detection in Time-Series.
Ines Ben KraiemFaiza GhozziAndré PéninouGeoffrey Roman-JimenezOlivier TestePublished in: EDBT (2021)
Keyphrases
- anomaly detection
- detect anomalies
- intrusion detection
- detecting anomalies
- classification rules
- network intrusion detection
- anomalous behavior
- network traffic
- association rules
- computer security
- behavior analysis
- unsupervised anomaly detection
- intrusion detection system
- unsupervised learning
- decision trees
- network intrusion
- one class support vector machines
- network anomaly detection
- human subjects
- malware detection
- detecting anomalous
- cumulative sum
- network security
- computer vision
- data mining
- neural network