Coping with training contamination in unsupervised distributional anomaly detection.
Nash M. BorgesGerard G. L. MeyerPublished in: CISS (2009)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- supervised learning
- novelty detection
- network traffic
- detecting anomalies
- anomalous behavior
- network intrusion detection
- detect anomalies
- detecting anomalous
- one class support vector machines
- computer security
- network anomaly detection
- intrusion detection system
- network security
- co occurrence
- semi supervised
- training set
- cumulative sum
- behavior analysis
- negative selection algorithm
- data sets
- natural language processing
- support vector machine
- machine learning