IDG-SemiAD: An Immune Detector Generation-Based Collaborative Learning Scheme for Semi-supervised Anomaly Detection in Industrial Cyber-physical Systems.
Meng HuangWenshan LiJunjiang HeXiaolong LanTao LiNian ZhangPublished in: Int. J. Comput. Intell. Syst. (2024)
Keyphrases
- learning scheme
- anomaly detection
- negative selection algorithm
- semi supervised
- unsupervised anomaly detection
- cyber physical systems
- intrusion detection
- learning algorithm
- unsupervised learning
- cyber security
- critical infrastructure
- detecting anomalies
- clonal selection algorithm
- network intrusion detection
- anomalous behavior
- intrusion detection system
- network traffic
- network security
- labeled data
- one class support vector machines
- physical world
- active learning
- pairwise
- social networks
- maximum entropy model
- supervised learning
- normal behavior
- detect anomalies
- power system