On the Use of VGs for Feature Selection in Supervised Machine Learning - A Use Case to Detect Distributed DoS Attacks.
João LopesAlberto PartidaPedro PintoAntónio PintoPublished in: OL2A (1) (2023)
Keyphrases
- supervised machine learning
- dos attacks
- feature selection
- lightweight
- network attacks
- denial of service
- manually annotated
- network security
- distributed systems
- machine learning
- mobile agents
- feature set
- supervised learning
- active learning
- denial of service attacks
- feature extraction
- text classification
- classification accuracy
- peer to peer
- computer networks
- multi agent
- learning algorithm
- data sets