A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures.
Kayode Yakub SaheedOluwadamilare Harazeem AbdulganiyuTaha Ait TchakouchtPublished in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
- sensor networks
- anomaly detection
- ensemble learning
- critical infrastructure
- intrusion detection
- wireless sensor networks
- cyber security
- intrusion detection system
- sensor data
- ensemble methods
- resource constrained
- data streams
- generalization ability
- network traffic
- network security
- control system
- smart city
- base classifiers
- prediction accuracy
- computer systems
- multi class
- feature vectors
- decision trees
- detect anomalies
- feature selection