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Traffic Labeller: Collecting Internet Traffic Samples with Accurate Application Information 被引量:2
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作者 PENG Lizhi ZHANG Hongli +2 位作者 YANG Bo CHEN Yuehui WU Tong 《China Communications》 SCIE CSCD 2014年第1期69-78,共10页
Traffic classification research has been suffering from a trouble of collecting accurate samples with ground truth.A model named Traffic Labeller(TL) is proposed to solve this problem.TL system captures all user socke... Traffic classification research has been suffering from a trouble of collecting accurate samples with ground truth.A model named Traffic Labeller(TL) is proposed to solve this problem.TL system captures all user socket calls and their corresponding application process information in the user mode on a Windows host.Once a sending data call has been captured,its 5-tuple {source IP,destination IP,source port,destination port and transport layer protocol},associated with its application information,is sent to an intermediate NDIS driver in the kernel mode.Then the intermediate driver writes application type information on TOS field of the IP packets which match the 5-tuple.In this way,each IP packet sent from the Windows host carries their application information.Therefore,traffic samples collected on the network have been labelled with the accurate application information and can be used for training effective traffic classification models. 展开更多
关键词 network measurement traffic cla- ssification data collection ground truth
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