Unsupervised network traffic anomaly detection with deep autoencoders.
Vibekananda DuttaMarek PawlickiRafal KozikMichal ChorasPublished in: Log. J. IGPL (2022)
Keyphrases
- anomaly detection
- network traffic
- deep belief networks
- unsupervised learning
- unsupervised anomaly detection
- intrusion detection
- computer networks
- network intrusion detection
- network security
- intrusion detection system
- restricted boltzmann machine
- traffic data
- detecting anomalous
- detecting anomalies
- anomalous behavior
- semi supervised
- network anomaly detection
- one class support vector machines
- traffic patterns
- traffic analysis
- network intrusion
- internet traffic
- negative selection algorithm
- object recognition
- supervised learning
- learning algorithm
- dimensionality reduction
- bayesian networks
- databases
- detect anomalies
- normal behavior
- social network analysis
- feature extraction
- long range dependence