Unsupervised learning approach for network intrusion detection system using autoencoders.
Hyunseung ChoiMintae KimGyubok LeeWooju KimPublished in: J. Supercomput. (2019)
Keyphrases
- unsupervised learning
- deep belief networks
- denoising
- supervised learning
- deep learning
- data clustering
- expectation maximization
- text classification
- feature selection
- object recognition
- semi supervised
- model selection
- cluster analysis
- sparse coding
- active learning
- information systems
- database
- anomaly detection
- dimensionality reduction
- restricted boltzmann machine
- intrusion detection system
- probabilistic model
- reinforcement learning
- learning algorithm
- neural network