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Classification of audio and video traffic over HTTP protocol

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

A widely use of the Internet introduces various online services such as online game, radio online, music online, TV online and video clips, which communicate over Hyper Text Transfer Protocol (HTTP). In this work, we aim to classify an audio and a video traffic from normal web traffic to reduce the misuse of bandwidth consumption. We propose a classification method based on flow information. Our classification use a combination of keyword matching technique and statistical behavior profiles. Keywords are pre-defined by observing from both audio and video traffic. Behavior profiles consist of three attributes, which are the average received packet size, a ratio of number of server-client packets, and the flow duration. Each attribute have an independent threshold of mean (μ) and standard deviation (σ). The experimental results show that our method can classify an audio traffic, a video traffic and normal web traffic with a high precision and recall.

Original languageEnglish
Title of host publication2009 9th International Symposium on Communications and Information Technology, ISCIT 2009
Pages1534-1539
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 9th International Symposium on Communications and Information Technology, ISCIT 2009 - Icheon, Korea, Republic of
Duration: 28 Sept 2009 → 30 Sept 2009

Publication series

Name2009 9th International Symposium on Communications and Information Technology, ISCIT 2009

Conference

Conference2009 9th International Symposium on Communications and Information Technology, ISCIT 2009
Country/TerritoryKorea, Republic of
CityIcheon
Period28/09/09 → 30/09/09

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