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一种基于统一DPI的流量欺诈识别系统

A traffic cheat identification system based on uniform DPI
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摘要 在移动互联网时代,各类热点应用层出不穷,业务的码流识别需要一定的时间,这给一些不法分子带来了可趁之机,通过利用网络漏洞和设备处理机制缺陷的流量欺诈现象时有发生,这给流量经营、内容网络的发展带来影响。湖北移动高度重视流量欺诈问题,通过对现网的统一DPI系统进行改造,开发了一套流量欺诈识别系统。通过开展流量欺诈识别分析工作,进行计费损失预防、追回,抑制用户的欺诈行为的不良传播,挽回经济损失的同时净化网络环境,提升用户质量。 In the era of mobile Internet, all kinds of hot spot applications are created. Since business stream recognition needs a certain period, it brings some chances for some criminals to take advantage of the devices. Through the use of network vulnerabilities and equipment handling device defect, traffic cheat occurs frequently, which brings huge lost to the traffic management, content, the development of the network. Hubei Mobile attaches great importance to traffic cheat, and develops a traffic cheat identification system based on current network unified DPI system, which can bring billing loss prevention, recovery and inhibition of user's bad spread of cheat, purify network environment at the same time to recover the economic losses, and improve the quality of the user.
出处 《电信工程技术与标准化》 2018年第2期78-82,共5页 Telecom Engineering Technics and Standardization
关键词 DPI 流量欺诈 网络漏洞 欺诈识别 DPI traffic cheat network vulnerability cheat identification
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  • 1高红阳.不对称信息经济学研究现状述评[J].当代经济研究,2005(10):23-28. 被引量:30
  • 2BASET S A,SCHULZRINNE H.An analysis of the Skype peer-to-peer internet telephony protocol[C]// IEEE Infocom'06.Barcelona,Spain,2006:1-11.
  • 3BIONDI P,DESCLAUX F.Silver needle in the Skype[C]//Black Hat Europe'06.Amsterdam,The Netherlands,2006,1:25-47.
  • 4YU Y F,LIU D D,LI J,et al.Traffic identification and overlay measurement of Skype[C]//Proc of IEEE International Conference on Computational Intelligence and Security.Guangzhou,China,2006:1043-1048.
  • 5CHEN K T,HUANG C Y,HUANG P,et al.Quantifying fying Skype user sattsfaction[C]//ACM SIGCOMM'06.Pisa,Italy,2006:399-410.
  • 6LU L,JEFFREY H,SAFAVI-NAINII R,et al.Transport layer identification of Skype traffic[C]//ICOIN 2007.Estoril,Portugal,2007:465-481.
  • 7DARIO B,MARCO M,MICHELA M.Revealing Skype traffic when randomness plays with you[C]//ACM Sigcomm'07.Kyoto,Japan,2006:37-48.
  • 8FALOUTSOS M,KARAGIANNIS C K,BROIDO A T.Transport layer identification of P2P traffic[C]// Proceedings of the 4th ACM SIGCOMM Conference on Internet Measurement.Taormina,Sicily,Italy,2004:121-134.
  • 9MOORE A,ZUEV D.Internet raffic classification using Bayesian analysis[C]//ACM Sigmetrics BANFF,CA,2005:50-60.
  • 10FENG W,CHANG F,FENG W,et al.A traffic characterization of popular on-line games[J].IEEE/ACM Transactions on Networking,2005,13(3):488-500.

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