Anomaly Detection in Cyber Physical Systems Using Recurrent Neural Networks.
Jonathan GohSridhar AdepuMarcus TanZi Shan LeePublished in: HASE (2017)
Keyphrases
- recurrent neural networks
- anomaly detection
- cyber physical systems
- cyber security
- intrusion detection
- physical world
- neural network
- intrusion detection system
- feed forward
- detecting anomalies
- network intrusion detection
- network traffic
- anomalous behavior
- artificial neural networks
- network security
- one class support vector machines
- echo state networks
- embedded systems
- critical infrastructure
- network anomaly detection
- back propagation
- unsupervised learning
- information systems
- information security
- virtual world
- association rules
- training data