Hybrid Statistical-Machine Learning for Real-Time Anomaly Detection in Industrial Cyber-Physical Systems.
Weijie HaoTao YangQiang YangPublished in: IEEE Trans Autom. Sci. Eng. (2023)
Keyphrases
- anomaly detection
- statistical machine learning
- cyber physical systems
- real time
- intrusion detection
- cyber security
- detecting anomalies
- network intrusion detection
- anomalous behavior
- intrusion detection system
- critical infrastructure
- statistical learning
- network traffic
- network security
- one class support vector machines
- detect anomalies
- physical world
- learning systems
- low cost
- decision trees
- machine learning algorithms
- unsupervised learning
- object recognition
- embedded systems
- control system
- data analysis
- information retrieval
- data mining