Deep Learning-based Anomaly Detection for 5G Core Mobility Management.
Ali IssaNahi KandilNadir HakemPublished in: ACTEA (2023)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- mobility management
- intrusion detection
- network traffic
- machine learning
- intrusion detection system
- mobile users
- weakly supervised
- cellular networks
- multimedia services
- network security
- detect anomalies
- supervised learning
- semi supervised
- wireless networks
- ip networks
- social networks
- neural network
- mobile objects
- learning algorithm
- learning process
- computer vision
- bayesian networks
- reinforcement learning
- mobile phone
- active learning