Anomaly Detection using a Convolutional Winner-Take-All Autoencoder.
Hanh TranDavid C. HoggPublished in: BMVC (2017)
Keyphrases
- anomaly detection
- restricted boltzmann machine
- deep learning
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- network intrusion detection
- unsupervised learning
- intrusion detection system
- computer security
- unsupervised anomaly detection
- probabilistic graphical models
- behavior analysis
- network security
- one class support vector machines
- conditional random fields
- detecting anomalous
- graphical models
- computer vision
- detect anomalies
- knowledge discovery
- pattern recognition
- support vector
- network intrusion
- genetic algorithm
- network anomaly detection
- machine learning