Impact of Virtual Networks on Anomaly Detection with Machine Learning.
Daniel SpiekermannJörg KellerPublished in: NetSoft (2020)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- computer security
- unsupervised learning
- network traffic
- unsupervised anomaly detection
- one class support vector machines
- network intrusion detection
- intrusion detection system
- detecting anomalous
- behavior analysis
- computational intelligence
- supervised learning
- text classification
- social networks
- feature selection
- learning algorithm
- decision trees
- pattern recognition
- detect anomalies
- data analysis
- computer networks
- active learning
- connectionist systems
- knowledge discovery
- feature extraction
- negative selection algorithm