Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture.
Pedro V. A. AlvesMateus A. S. S. GoldbargWysterlânya K. P. BarrosIago D. RegoVinícius J. M. T. FilhoAllan de M. MartinsVicente A. de Sousa Jr.Ramon dos Reis FontesEduardo Henrique da Silva AranhaAugusto V. NetoMarcelo A. C. FernandesPublished in: INNS DLIA@IJCNN (2023)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- network anomaly detection
- anomalous behavior
- network intrusion detection
- network traffic
- computer security
- one class support vector machines
- detecting anomalies
- intrusion detection system
- detecting anomalous
- learning algorithm
- data mining
- network security
- unsupervised anomaly detection
- computer vision
- behavior analysis
- unsupervised learning
- model selection
- data processing
- text mining
- natural language processing
- information extraction
- active learning
- decision trees