An Incremental Learner for Language-Based Anomaly Detection in XML.
Harald LampesbergerPublished in: IEEE Symposium on Security and Privacy Workshops (2016)
Keyphrases
- anomaly detection
- intrusion detection
- extensible markup language
- network intrusion detection
- detecting anomalies
- xml documents
- unsupervised anomaly detection
- network anomaly detection
- network traffic
- detecting anomalous
- intrusion detection system
- network security
- anomalous behavior
- behavior analysis
- learning environment
- computer security
- malware detection
- detect anomalies
- negative selection algorithm
- one class support vector machines
- e learning
- metadata
- natural language
- unsupervised learning
- bayesian networks
- network intrusion
- face recognition
- clustering algorithm
- databases
- supervised learning
- computer systems