Data-Driven Anomaly Detection and Event Log Profiling of SCADA Alarms.
José R. AndradeConceição RochaRicardo SilvaJoão P. VianaRicardo J. BessaClara GouveiaB. AlmeidaR. J. SantosMiguel LouroP. M. SantosA. F. RibeiroPublished in: IEEE Access (2022)
Keyphrases
- anomaly detection
- data driven
- event logs
- process mining
- intrusion detection
- process model
- intrusion detection system
- security policies
- control system
- anomalous behavior
- detecting anomalies
- network security
- supervisory control
- log files
- business process
- network traffic
- network intrusion detection
- business processes
- detecting anomalous
- negative selection algorithm
- critical infrastructure
- unsupervised learning
- access control
- detect anomalies
- data analysis
- one class support vector machines
- network anomaly detection
- real world
- formal concept analysis
- information extraction
- machine learning