Machine Learning based Anomaly Detection for 5G Networks.
Jordan LamRobert AbbasPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- computer security
- detect anomalies
- unsupervised learning
- unsupervised anomaly detection
- detecting anomalous
- network intrusion
- behavior analysis
- network security
- feature selection
- knowledge discovery
- negative selection algorithm
- social networks
- one class support vector machines
- data sets
- intrusion detection system
- data mining
- computational intelligence
- text mining
- supervised learning
- malware detection
- genetic algorithm
- self organizing maps
- data analysis
- learning algorithm
- neural network