{"title":"使用分组大小分配来识别P2P-TV流量","authors":"Li Jin, Zhang Xin, Zuo Xiao-Liang, Wang Hui","doi":"10.1109/CYBERC.2010.35","DOIUrl":null,"url":null,"abstract":"We propose an approach to accurately identify the traffic generaed by P2P-TV applications. This approach only relies on accounting packet size distribution (PSD) of the P2P-TV application during small time-windows. The rationale is that the packet size distributions of P2P-TV applications are different from each other. Based on the statistic, we make use of Support Vector Machines on a large set of P2P-TV test-bed traces. Experiment results show that our approach is effective and reliable to identify P2P-TV traffic.","PeriodicalId":315132,"journal":{"name":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Using Packet Size Distribution to Identify P2P-TV Traffic\",\"authors\":\"Li Jin, Zhang Xin, Zuo Xiao-Liang, Wang Hui\",\"doi\":\"10.1109/CYBERC.2010.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an approach to accurately identify the traffic generaed by P2P-TV applications. This approach only relies on accounting packet size distribution (PSD) of the P2P-TV application during small time-windows. The rationale is that the packet size distributions of P2P-TV applications are different from each other. Based on the statistic, we make use of Support Vector Machines on a large set of P2P-TV test-bed traces. Experiment results show that our approach is effective and reliable to identify P2P-TV traffic.\",\"PeriodicalId\":315132,\"journal\":{\"name\":\"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBERC.2010.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2010.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Packet Size Distribution to Identify P2P-TV Traffic
We propose an approach to accurately identify the traffic generaed by P2P-TV applications. This approach only relies on accounting packet size distribution (PSD) of the P2P-TV application during small time-windows. The rationale is that the packet size distributions of P2P-TV applications are different from each other. Based on the statistic, we make use of Support Vector Machines on a large set of P2P-TV test-bed traces. Experiment results show that our approach is effective and reliable to identify P2P-TV traffic.