Anomaly Detection in IDSs by means of unsupervised greedy learning of finite mixture models.
Nicola GreggioPublished in: Soft Comput. (2018)
Keyphrases
- anomaly detection
- unsupervised learning
- intrusion detection
- connectionist systems
- finite mixture models
- intrusion detection system
- supervised learning
- detecting anomalies
- unsupervised anomaly detection
- network intrusion detection
- learning process
- network traffic
- network security
- active learning
- one class support vector machines
- computer vision
- learning algorithm
- machine learning
- pattern recognition
- image processing
- anomalous behavior