Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search.
Jun-Min ShaoGuo-Qiang ZengKang-Di LuGuang-Gang GengJian WengPublished in: Comput. Secur. (2024)
Keyphrases
- intrusion detection
- anomaly detection
- neural architecture
- intrusion detection system
- network security
- control system
- learning algorithm
- machine learning
- high detection rate
- learning tasks
- unsupervised learning
- pattern recognition
- reinforcement learning
- state space
- probabilistic model
- data analysis
- support vector
- network intrusion detection
- data mining
- detecting anomalous
- network intrusions