FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic.
Thijs van EdeRiccardo BortolameottiAndrea ContinellaJingjing RenDaniel J. DuboisMartina LindorferDavid R. ChoffnesMaarten van SteenAndreas PeterPublished in: NDSS (2020)
Keyphrases
- network traffic
- semi supervised
- mobile apps
- mobile applications
- intrusion detection
- anomaly detection
- business models
- pairwise
- internet traffic
- active learning
- m learning
- supervised learning
- unsupervised learning
- traffic data
- intrusion detection system
- smart phones
- mobile devices
- mobile learning
- detecting anomalous
- network intrusion detection
- learning technologies
- coverage includes
- machine learning
- higher education
- context aware
- mobile phone
- real world