Extreme Dimensionality Reduction for Network Attack Visualization with Autoencoders.
Daniel C. FerreiraFélix Iglesias VázquezTanja ZsebyPublished in: IJCNN (2019)
Keyphrases
- kernel learning
- dimensionality reduction
- semi supervised
- network model
- network structure
- computer networks
- peer to peer
- wireless sensor networks
- high dimensional
- network intrusion
- high dimensional data
- data sets
- data representation
- community structure
- structure preserving
- denial of service attacks
- cyber attacks
- attack graphs
- dos attacks
- feedforward neural networks
- data visualization
- complex networks
- feature extraction
- feature selection