Automatic Classification Rules for Anomaly Detection in Time-Series.
Ines Ben KraiemFaiza GhozziAndré PéninouGeoffrey Roman-JimenezOlivier TestePublished in: RCIS (2020)
Keyphrases
- anomaly detection
- automatic classification
- detect anomalies
- intrusion detection
- anomalous behavior
- network intrusion detection
- unsupervised anomaly detection
- detecting anomalies
- network traffic
- intrusion detection system
- automatic detection
- automatically classify
- computer security
- one class support vector machines
- detecting anomalous
- network anomaly detection
- negative selection algorithm
- unsupervised learning
- association rules
- malware detection
- computer vision
- network security
- decision trees
- cumulative sum
- data sets
- learning algorithm
- network intrusion
- behavior analysis
- pairwise
- knowledge discovery