A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks.
Maria ScalabrinMatteo GadaletaRiccardo BonettoMichele RossiPublished in: MLSP (2017)
Keyphrases
- anomaly detection
- intrusion detection
- network intrusion detection
- anomalous behavior
- detect anomalies
- unsupervised learning
- detecting anomalies
- network traffic
- network security
- behavior analysis
- computer security
- one class support vector machines
- network anomaly detection
- intrusion detection system
- data sets
- traffic flow
- unsupervised anomaly detection