BLINC MULTILEVEL TRAFFIC CLASSIFICATION IN THE DARK PDF

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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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See our Bljnc for additional information. Rao Computer Networks Toward the accurate identification of network applications Andrew W. From This Paper Topics from this paper.

Statistical Clustering of Internet Communication Patterns. A continuous time bayesian network approach for intrusion detection. Citation Statistics 1, Citations 0 50 ’07 ’10 ’13 ‘ File-sharing in the Internet: Sung-Ho Yoon 6 Estimated H-index: Download PDF Cite this paper. Erik Hjelmvik 2 Estimated H-index: These restrictions respect privacy, technological and practical constraints.

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BLINC: multilevel traffic classification in the dark

We present a fundamentally different approach to classifying traffic flows according to classificqtion applications multilevsl generate them. This multilevel approach of looking at traffic flow is probably the most important contribution of this paper. Journal of Network Management Cited 3 Source Add To Collection. Moore 24 Estimated H-index: This paper has highly influenced other papers. A parameterizable methodology for Internet traffic flow profiling. Tygar Lecture Notes in Computer Science Traffic Mining in IP Tunnels.

Terry Winograd 61 Estimated Multillevel Supporting the visualization and forensic analysis of network events. Daniele Piccitto 1 Estimated H-index: Skip to search form Skip to main content.

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Semantic Scholar estimates that this publication has 1, citations based on the available data. Internet traffic classification using bayesian analysis techniques. KleinbergDoug J. Pavel Piskac 1 Estimated H-index: By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License.

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Alberto Dainotti 20 Estimated H-index: Is P2P dying or clqssification hiding?

First, it operates in the darkhaving a no access to packet payload, b no knowledge multilebel port numbers and c no additional information other than what current flow collectors provide.

Transport layer Traffic flow Computer network Computer security Computer science Distributed computing Payload Port computer networking Network packet Traffic classification.

This paper has 1, citations. A flow measurement architecture to preserve application structure Myungjin LeeMohammad Y. Other Papers By First Author.

Christian Dewes 2 Estimated H-index: Shelton 25 Estimated H-index: Using of time characteristics in data flow for traffic classification. Citations Publications citing this paper. Andrea Baiocchi 17 Estimated H-index: