A traffic anomaly detection approach based on unsupervised learning for industrial cyber-physical system.
Tao YangZhenze JiangPeiyu LiuQiang YangWenhai WangPublished in: Knowl. Based Syst. (2023)
Keyphrases
- anomaly detection
- unsupervised learning
- network traffic
- cyber physical systems
- intrusion detection
- cyber security
- critical infrastructure
- intrusion detection system
- detect anomalies
- supervised learning
- network intrusion detection
- anomalous behavior
- normal traffic
- detecting anomalies
- network security
- semi supervised
- physical world
- computer networks
- one class support vector machines
- object recognition
- real time
- network management
- dimensionality reduction
- text classification
- expectation maximization
- feature selection
- information security
- network anomaly detection
- negative selection algorithm
- reinforcement learning
- low cost
- bayesian networks
- machine learning