Detecting Mobile Traffic Anomalies Through Physical Control Channel Fingerprinting: A Deep Semi-Supervised Approach.
Hoang Duy TrinhEngin ZeydanLorenza GiupponiPaolo DiniPublished in: IEEE Access (2019)
Keyphrases
- semi supervised
- detecting anomalies
- anomaly detection
- control system
- pairwise
- network traffic
- labeled data
- server logs
- traffic control
- mobile learning
- mobile phone
- mobile devices
- real time
- context aware
- active learning
- semi supervised learning
- intrusion detection
- communication channels
- semi supervised clustering
- learning process
- machine learning