SAKMR: Industrial control anomaly detection based on semi-supervised hybrid deep learning.
Shijie TangYong DingMeng ZhaoHuiyong WangPublished in: Peer Peer Netw. Appl. (2024)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- semi supervised
- unsupervised anomaly detection
- intrusion detection
- detecting anomalies
- supervised learning
- weakly supervised
- network anomaly detection
- anomalous behavior
- network intrusion detection
- intrusion detection system
- network traffic
- detect anomalies
- one class support vector machines
- labeled data
- real world
- active learning
- bayesian networks
- pairwise
- learning strategies
- knn
- generative model
- dimensionality reduction