Autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance.
Brian LewandowskiRandy C. PaffenrothPublished in: ICMLA (2022)
Keyphrases
- network intrusion detection
- intrusion detection
- supervised learning
- anomaly detection
- restricted boltzmann machine
- network intrusion
- intrusion detection system
- fraud detection
- network anomaly detection
- artificial immune
- unsupervised learning
- network traffic
- network traffic data
- least squares
- feature vectors
- training set
- semi supervised
- network intrusions
- feedforward neural networks
- data analysis
- decision trees
- learning algorithm