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Recognition of traffic generated by WebRTC communication
ISSN: 2744 - 2527
Publisher: author
Recognition of traffic generated by WebRTC communication
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 2
Article Accessibility Score: 3
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International Category Code (ICC):
ICC-1802
Publisher: "ims" Vogosca
International Journal Address (IAA):
IAA.ZONE/2744395432527
eISSN
:
2744 - 2527
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Abstract
Network traffic recognition serves as a basic condition for network operators to differentiate and prioritize traffic for a number of purposes, from guaranteeing the Quality of Service (QoS), to monitoring safety, as well as monitoring and detecting anomalies. Web Real-Time Communication (WebRTC) is an open-source project that enables real-time audio, video, and text communication among browsers. Since WebRTC does not include any characteristic pattern for semantically based traffic recognition, this paper proposes models for recognizing traffic generated during WebRTC audio and video communication based on statistical characteristics and usage of machine learning in Weka tool. Five classification algorithms have been used for model development, such as Naive Bayes, J48, Random Forest, REP tree, and Bayes Net. The results show that J48 and BayesNet have the best performances in this experimental case of WebRTC traffic recognition. Fut...
