非结构化P2P组播视频流的特征研究

Yang Yuexiang, Liu Chaobin, Huang Gaoping
{"title":"非结构化P2P组播视频流的特征研究","authors":"Yang Yuexiang, Liu Chaobin, Huang Gaoping","doi":"10.1109/ICBNMT.2009.5348463","DOIUrl":null,"url":null,"abstract":"Many potential safety problems result from the rapid development of P2P IPTV business, and the foundation for effectively managing the business is to accurately identify unstructured P2P multicast video streaming. In this paper, four flow features are proposed to distinguish unstructured P2P multicast video streaming from P2P file streaming by analyzing the working principle of unstructured P2P multicast video streaming, which provides a basis for detecting and identifying the unstructured P2P multicast video streaming. The experiment proved that each feature of the four could almost linearly separate the two types of network traffic, each accuracy was more than 87%.","PeriodicalId":267128,"journal":{"name":"2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Feature research on unstructured P2P multicast video streaming\",\"authors\":\"Yang Yuexiang, Liu Chaobin, Huang Gaoping\",\"doi\":\"10.1109/ICBNMT.2009.5348463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many potential safety problems result from the rapid development of P2P IPTV business, and the foundation for effectively managing the business is to accurately identify unstructured P2P multicast video streaming. In this paper, four flow features are proposed to distinguish unstructured P2P multicast video streaming from P2P file streaming by analyzing the working principle of unstructured P2P multicast video streaming, which provides a basis for detecting and identifying the unstructured P2P multicast video streaming. The experiment proved that each feature of the four could almost linearly separate the two types of network traffic, each accuracy was more than 87%.\",\"PeriodicalId\":267128,\"journal\":{\"name\":\"2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBNMT.2009.5348463\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBNMT.2009.5348463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

P2P网络电视业务的快速发展带来了许多潜在的安全问题,而准确识别非结构化的P2P组播视频流是有效管理P2P网络电视业务的基础。本文通过分析非结构化P2P组播视频流的工作原理,提出了区分非结构化P2P组播视频流和P2P文件流的四种流特征,为检测和识别非结构化P2P组播视频流提供了依据。实验证明,四种特征几乎可以线性区分两类网络流量,准确率均在87%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature research on unstructured P2P multicast video streaming
Many potential safety problems result from the rapid development of P2P IPTV business, and the foundation for effectively managing the business is to accurately identify unstructured P2P multicast video streaming. In this paper, four flow features are proposed to distinguish unstructured P2P multicast video streaming from P2P file streaming by analyzing the working principle of unstructured P2P multicast video streaming, which provides a basis for detecting and identifying the unstructured P2P multicast video streaming. The experiment proved that each feature of the four could almost linearly separate the two types of network traffic, each accuracy was more than 87%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信