Program for Video-Traffic Identification and Analysis

Student: Kozin Svyatoslav

Educational Programme: System Programming (Master)

Year of Graduation: 2019

This paper is devoted to the analysis of video traffic. All that is needed for data exchange is all that is needed for analyzing the video for searching in the search for meta-data for optimizing server work and protecting data. The paper discusses the principles of video content transmission, the algorithm for streaming data and disclosing the existing method of obtaining high-quality video files in search traffic by peak bitrate values. Traffic analysis and implementation of streaming algorithms were reviewed in the most popular video hosting on the network - Youtube. Based on the classification algorithm of machine learning and analysis of decrypted network video traces. HTTP packets from all video traffic were found. Algorithms and structure, which were considered in the work. Application code and test methods for this program.

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