Variational restricted Boltzmann machines to automated anomaly detection.
Konstantinos DemertzisLazaros IliadisElias PimenidisPanagiotis KikirasPublished in: Neural Comput. Appl. (2022)
Keyphrases
- anomaly detection
- restricted boltzmann machine
- intrusion detection
- deep learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- unsupervised learning
- intrusion detection system
- negative selection algorithm
- one class support vector machines
- image segmentation
- network traffic
- detect anomalies
- loopy belief propagation
- probabilistic graphical models
- optical flow
- learning algorithm
- semi supervised
- free energy
- pairwise
- data sets
- graphical models
- artificial neural networks
- fuzzy logic
- approximate inference
- conditional random fields
- supervised learning