An Intrusion Detection Model Based on Deep Belief Networks.
Ni GaoLing GaoQuanli GaoHai WangPublished in: CBD (2014)
Keyphrases
- intrusion detection
- deep belief networks
- anomaly detection
- intrusion detection system
- network intrusion detection
- network security
- deep learning
- unsupervised learning
- detecting anomalous
- network traffic
- machine learning
- high detection rate
- probabilistic model
- data mining
- restricted boltzmann machine
- generative model
- hierarchical models
- alert correlation
- real world
- intrusion prevention
- data mining techniques
- pattern recognition
- decision trees
- network attacks
- distributed systems
- supervised learning
- knowledge discovery
- pairwise
- support vector
- feature extraction
- network intrusions