Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets.
Shiraz FarouqStefan ByttnerMohamed-Rafik BougueliaHenrik GaddPublished in: Neurocomputing (2021)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- intrusion detection system
- network intrusion detection
- computer security
- network traffic
- network security
- detecting anomalous
- one class support vector machines
- unsupervised anomaly detection
- network intrusion
- behavior analysis
- unsupervised learning
- malware detection
- negative selection algorithm
- network anomaly detection
- real world
- input data
- semi supervised
- hidden markov models
- pairwise
- object recognition
- misuse detection
- data sets