One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks.
Nga Nguyen ThiVan Loi CaoNhien-An Le-KhacPublished in: CoRR (2018)
Keyphrases
- recurrent neural networks
- anomaly detection
- long short term memory
- intrusion detection
- unsupervised anomaly detection
- feed forward
- anomalous behavior
- detecting anomalies
- network intrusion detection
- reservoir computing
- neural network
- recurrent networks
- artificial neural networks
- echo state networks
- network traffic
- computer security
- network anomaly detection
- detecting anomalous
- one class support vector machines
- nonlinear dynamic systems
- intrusion detection system
- cumulative sum
- detect anomalies
- unsupervised learning
- malware detection
- behavior analysis
- reinforcement learning
- probabilistic model
- network security
- knowledge discovery
- semi supervised
- misuse detection
- artificial intelligence
- genetic algorithm
- data mining