An Intrusion Detection System based on Deep Belief Networks.
Othmane BelarbiAftab KhanPietro Edoardo CarnelliTheodoros SpyridopoulosPublished in: CoRR (2022)
Keyphrases
- intrusion detection system
- deep belief networks
- intrusion detection
- unsupervised learning
- deep learning
- anomaly detection
- network security
- probabilistic model
- restricted boltzmann machine
- hierarchical models
- network traffic
- generative model
- machine learning
- computer systems
- sparse coding
- approximate inference
- distributed intrusion detection
- data processing
- active learning
- probabilistic graphical models
- bayesian networks
- image representation
- image classification
- latent variables
- hierarchical model
- artificial neural networks
- normal behavior
- learning algorithm
- data sets