A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems.
Fabrizio De VitaDario BruneoSajal K. DasPublished in: SMARTCOMP (2021)
Keyphrases
- anomaly detection
- semi supervised
- unsupervised anomaly detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- connectionist systems
- network security
- network anomaly detection
- one class support vector machines
- computer security
- behavior analysis
- intrusion prevention
- negative selection algorithm
- unsupervised learning
- data sets
- model based diagnosis
- malware detection
- computer systems
- detecting anomalous
- critical infrastructure
- network traffic
- detect anomalies
- intrusion detection system
- semi supervised learning
- maximum likelihood
- cumulative sum
- face recognition
- clustering algorithm