Anomaly Detection in XML-Structured SOAP Messages Using Tree-Based Association Rule Mining.
Reyhaneh Ghassem EsfahaniMohammad Abdollahi AzgomiReza FathiPublished in: CoRR (2016)
Keyphrases
- anomaly detection
- association rule mining
- extensible markup language
- association rules
- xml documents
- intrusion detection
- structured data
- detecting anomalies
- network intrusion detection
- frequent itemsets
- xml data
- network traffic
- data mining techniques
- anomalous behavior
- association rule mining algorithm
- pattern discovery
- one class support vector machines
- network anomaly detection
- detect anomalies
- data mining
- itemsets
- knowledge discovery
- semi structured data
- metadata
- data model
- intrusion detection system
- interestingness measures
- databases
- classification rule mining
- real world
- interesting patterns
- unsupervised learning
- discovered association rules
- frequent subtree mining
- data management
- data warehouse
- weighted association rule mining
- feature extraction
- genetic network programming