Distributed anomaly detection using 1-class SVM for vertically partitioned data.
Kamalika DasKanishka BhaduriPetr VotavaPublished in: Stat. Anal. Data Min. (2011)
Keyphrases
- anomaly detection
- vertically partitioned data
- vertically partitioned
- one class support vector machines
- intrusion detection
- detecting anomalies
- anomalous behavior
- support vector
- privacy preserving
- network intrusion detection
- network anomaly detection
- intrusion detection system
- network traffic
- unsupervised learning
- multi class
- support vector machine
- training set
- machine learning
- semi supervised
- distributed data
- normal behavior
- feature vectors
- negative selection algorithm