Classifying and Prioritizing OTT and Non-OTT Network Traffic

Author(s)	Jeyadev Needhi, Latha Sri SA, Priyadarshni V, Sandhiya S, Sangeetha RK
Country	India
Abstract	The rapid expansion of digital communication and entertainment services like Over The Top (OTT) platforms have become a dominant force in the media and telecommunication industry. These platforms offer a wide range of services such as video streaming , voice calls and messaging which are delivered over the internet without the involvement of traditional service providers. Accurate Classification of network traffic into OTT and non-OTT helps in prioritizing and managing network resources such as bandwidth, server capacity and also ensures a better quality of Service(QoS). This project explores the appli- cation of machine learning techniques to classify network traffic into two primary categories: OTT and non-OTT. The primary objective is to develop a robust and accurate classification model that can automatically differentiate between these categories based on the analysis of network data packets.
Field	Computer Applications
Published In	Volume 6, Issue 4, July-August 2024
Published On	2024-07-05
DOI	https://doi.org/10.36948/ijfmr.2024.v06i04.24049
Short DOI	https://doi.org/gt3nfz

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International Journal For Multidisciplinary Research