Incremental Clustering for Semi-Supervised Anomaly Detection applied on Log Data.
Markus WurzenbergerFlorian SkopikMax LandauerPhilipp GreitbauerRoman FiedlerWolfgang KastnerPublished in: ARES (2017)
Keyphrases
- anomaly detection
- log data
- incremental clustering
- semi supervised
- unsupervised anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- network intrusion detection
- detect anomalies
- unsupervised learning
- natural language processing
- data sets
- network traffic
- concept drift
- data mining techniques
- supervised learning
- data structure
- similarity measure
- network anomaly detection
- negative selection algorithm
- machine learning