Research on P2P streaming media identification based on UDP

Several popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period wer...

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Main Authors: Shi DONG, Gang WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.12.004/
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author Shi DONG
Gang WANG
author_facet Shi DONG
Gang WANG
author_sort Shi DONG
collection DOAJ
description Several popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period were summarized,and the UDP packet sizes in various network TV differ significantly.Thus,a method that can identify P2P application’s UDP traffic accurately and effectively was proposed based on extended flow records.Through identifying and verifying the five P2P streaming application traffic which was called Trace data collected from the backbone channel of CERNET (China education and research network) border in Jiangsu Province,and traffic identification results compared with machine learning algorithms show that the proposed method has a high precision rate and recall rate,high time efficient,and not susceptible to the impact of the proportion of the sample.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2012-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-3228255a874149818615094285b2b3842025-01-14T06:33:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-12-0133253459665932Research on P2P streaming media identification based on UDPShi DONGGang WANGSeveral popular P2P networks TV were studied,and their differences in port usage and packet size distribution were analyzed thoroughly.By observing the above characteristics,the conclusions that network TV application employs only one port to generate most of UDP traffic in one communicat period were summarized,and the UDP packet sizes in various network TV differ significantly.Thus,a method that can identify P2P application’s UDP traffic accurately and effectively was proposed based on extended flow records.Through identifying and verifying the five P2P streaming application traffic which was called Trace data collected from the backbone channel of CERNET (China education and research network) border in Jiangsu Province,and traffic identification results compared with machine learning algorithms show that the proposed method has a high precision rate and recall rate,high time efficient,and not susceptible to the impact of the proportion of the sample.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.12.004/UDPP2Ptraffic identificationextended flow records
spellingShingle Shi DONG
Gang WANG
Research on P2P streaming media identification based on UDP
Tongxin xuebao
UDP
P2P
traffic identification
extended flow records
title Research on P2P streaming media identification based on UDP
title_full Research on P2P streaming media identification based on UDP
title_fullStr Research on P2P streaming media identification based on UDP
title_full_unstemmed Research on P2P streaming media identification based on UDP
title_short Research on P2P streaming media identification based on UDP
title_sort research on p2p streaming media identification based on udp
topic UDP
P2P
traffic identification
extended flow records
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.12.004/
work_keys_str_mv AT shidong researchonp2pstreamingmediaidentificationbasedonudp
AT gangwang researchonp2pstreamingmediaidentificationbasedonudp