Anomaly Detection for Industrial Control Networks Based on Improved One-Class Support Vector Machine.
Haicheng QuJianzhong ZhouJitao QinXiaorong TianPublished in: Int. J. Pattern Recognit. Artif. Intell. (2021)
Keyphrases
- anomaly detection
- one class support vector machines
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- computer security
- network intrusion detection
- unsupervised anomaly detection
- detecting anomalous
- computer networks
- social networks
- intrusion detection system
- detect anomalies
- unsupervised learning
- network security
- network anomaly detection
- network structure
- maximum likelihood
- support vector machine
- object recognition
- training data
- decision trees
- feature selection
- negative selection algorithm