Artificial Intelligence-Powered Mobile Edge Computing-Based Anomaly Detection in Cellular Networks.
Bilal HussainQinghe DuAli ImranMuhammad Ali ImranPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- anomaly detection
- cellular networks
- mobile users
- artificial intelligence
- mobile networks
- wireless networks
- intrusion detection
- mobile devices
- mobile phone
- detecting anomalies
- anomalous behavior
- network intrusion detection
- base station
- network anomaly detection
- intrusion detection system
- network traffic
- mobile applications
- wifi
- detect anomalies
- unsupervised learning
- multi hop
- intelligent systems
- negative selection algorithm
- one class support vector machines
- neural network
- rfid tags
- smart phones
- context aware
- supply chain management
- wireless communication
- maximum likelihood