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Large-scale Mobile App Identification Using Deep Learning
[article]
2019
arXiv
pre-print
Many network services and tools (e.g. network monitors, malware-detection systems, routing and billing policy enforcement modules in ISPs) depend on identifying the type of traffic that passes through the network. With the widespread use of mobile devices, the vast diversity of mobile apps, and the massive adoption of encryption protocols (such as TLS), large-scale traffic classification becomes inevitable and more difficult. In this paper, we propose a deep learning model for mobile app
arXiv:1910.02350v1
fatcat:jpomja2thng3dbte4ndcphr7vy