Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM.
Adel BinbusayyisThavavel VaiyapuriPublished in: Appl. Intell. (2021)
Keyphrases
- deep learning
- network intrusion detection
- restricted boltzmann machine
- unsupervised learning
- deep belief networks
- anomaly detection
- intrusion detection
- unsupervised feature learning
- deep architectures
- network intrusion
- weakly supervised
- intrusion detection system
- mental models
- fraud detection
- network traffic
- machine learning
- computer systems
- text classification
- supervised learning
- active learning
- feature extraction
- feature selection