VoIP Traffic Detection in Tunneled and Anonymous Networks Using Deep Learning

Volume: 9, Pages: 59783 - 59799
Published: Jan 1, 2021
Abstract
Network management is facing a great challenge to analyze and identify encrypted network traffic with specific applications and protocols. A significant number of network users applying different encryption techniques to network applications and services to hide the true nature of the network communication. These challenges attract the network community to improve network security and enhance network service quality. Network managers need novel...
Paper Details
Title
VoIP Traffic Detection in Tunneled and Anonymous Networks Using Deep Learning
Published Date
Jan 1, 2021
Volume
9
Pages
59783 - 59799
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