Online behavior classification for anomaly detection in self-x real-time systems.
Franz-Josef RammigKatharina StahlPublished in: Concurr. Comput. Pract. Exp. (2016)
Keyphrases
- anomaly detection
- real time systems
- behavior analysis
- intrusion detection
- anomalous behavior
- real time
- detecting anomalies
- network intrusion detection
- unsupervised learning
- network anomaly detection
- one class support vector machines
- feature extraction
- support vector machine
- network traffic
- machine learning
- intrusion detection system
- decision trees
- pattern recognition
- embedded systems
- detect anomalies
- distributed systems
- unsupervised anomaly detection
- detecting anomalous
- negative selection algorithm
- support vector
- training set
- text classification
- normal behavior
- network security
- cost sensitive
- pairwise
- supervised learning
- feature selection