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BLINC MULTILEVEL TRAFFIC CLASSIFICATION IN THE DARK PDF

This multilevel approach of looking at traffic flow is probably the most important contribution of this paper. Furthermore, our approach has two important features. BLINC. Multilevel Traffic Classification in the Dark. Thomas Karagiannis1. Konstantina Papagiannaki2. Michalis Faloutsos1. 1UC Riverside. We present a fundamentally different approach to classifying traffic flows according to the applications that generate them. In contrast to previous methods, our.

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We present a fundamentally different approach to classifying traffic flows according to the applications that generate them.

Shelton 25 Estimated H-index: Showing of extracted citations. These restrictions respect privacy, technological and practical constraints.

Alberto Dainotti 20 Estimated H-index: We analyze these patterns at three levels of increasing detail i the social, ii the functional and iii the application level. Citations Publications citing ib paper. Moore 24 Estimated H-index: William Aiello 33 Estimated H-index: This paper has highly influenced other papers.

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Erik Hjelmvik 2 Traftic H-index: An analysis of Internet chat systems. A parameterizable methodology for Internet traffic flow profiling.

Toward the accurate identification of network applications Andrew W. Topics Discussed in This Paper.

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Gang Xiong 4 Estimated H-index: Download PDF Cite this paper. Furthermore, our approach has two important features. Andrea Baiocchi 17 Estimated H-index: Toward the accurate identification of network applications.

Network packet Tracing software.

BLINC: multilevel traffic classification in the dark – Semantic Scholar

Internet traffic classification using bayesian analysis techniques. Terry Winograd 61 Estimated H-index: Thomas Karagiannis 1 Estimated H-index: First, it operates in the darkhaving a no access to packet payload, b no knowledge of port numbers and c no additional information other than what current flow collectors provide.

Analysis of communities of interest in data networks. A flow measurement architecture to preserve application structure Myungjin LeeMohammad Y. KleinbergDoug J.

BLINC: multilevel traffic classification in the dark

Skip to search form Skip to main content. Semantic Scholar estimates that this publication has 1, citations based on the available data.

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In contrast to previous methods, our approach is based on observing and identifying patterns of host behavior at the transport layer. Tygar Lecture Notes in Computer Science Cited 3 Source Add To Collection. File-sharing in the Internet: Thomas Karagiannis 32 Estimated H-index: Statistical Clustering of Internet Communication Patterns.