Anomaly Detection for Industrial Control System Based on Autoencoder Neural Network.
Chao WangBailing WangHongri LiuHaikuo QuPublished in: Wirel. Commun. Mob. Comput. (2020)
Keyphrases
- anomaly detection
- control system
- neural network
- fuzzy logic
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network anomaly detection
- one class support vector machines
- unsupervised anomaly detection
- lyapunov theory
- network traffic
- back propagation
- detecting anomalous
- artificial neural networks
- pattern recognition
- intrusion detection system
- critical infrastructure
- behavior analysis
- connectionist systems
- network security
- unsupervised learning
- detect anomalies
- genetic algorithm
- computer security
- control law
- supervised learning
- malware detection
- hidden layer
- self organizing maps
- object recognition