Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic Series.
Evelyne AkopyanAngelo FurnoNour-Eddin El FaouziEric GaumePublished in: ESANN (2021)
Keyphrases
- anomaly detection
- mobile phone
- real time
- network traffic
- unsupervised anomaly detection
- cellular phone
- unsupervised learning
- intrusion detection
- detect anomalies
- detecting anomalies
- anomalous behavior
- intrusion detection system
- mobile devices
- smart phones
- network intrusion detection
- mobile applications
- mobile users
- network security
- network anomaly detection
- normal traffic
- data assimilation
- mobile phone users
- low cost
- traffic information
- supervised learning
- computer networks
- rfid reader
- one class support vector machines
- negative selection algorithm
- machine learning