Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks.
Loïc BontempsVan Loi CaoJames McDermottNhien-An Le-KhacPublished in: FDSE (2016)
Keyphrases
- recurrent neural networks
- anomaly detection
- long short term memory
- intrusion detection
- neural network
- detecting anomalies
- feed forward
- network intrusion detection
- unsupervised anomaly detection
- reservoir computing
- anomalous behavior
- echo state networks
- computer security
- recurrent networks
- network traffic
- artificial neural networks
- nonlinear dynamic systems
- detecting anomalous
- network security
- behavior analysis
- network intrusion
- network anomaly detection
- artificial intelligence
- pattern recognition
- pairwise
- connectionist systems
- negative selection algorithm
- one class support vector machines
- detect anomalies
- unsupervised learning
- intrusion detection system