Anomaly Detection for the Industrial Internet of Things: an Unsupervised Approach for Fast Root Cause Analysis.
Eugenia AnelloChiara MasieroFabiana Federica FerroFrancesca FerrariBleona MukajAlessandro BeghiGian Antonio SustoPublished in: CCTA (2022)
Keyphrases
- anomaly detection
- root cause analysis
- root cause
- intrusion detection
- detecting anomalies
- network traffic
- decision support
- network intrusion detection
- intrusion detection system
- anomalous behavior
- mobile devices
- computer security
- detecting anomalous
- network anomaly detection
- detect anomalies
- negative selection algorithm
- behavior analysis
- malware detection
- network security
- unsupervised learning
- one class support vector machines
- computer vision
- data mining
- hidden markov models
- training data
- connectionist systems