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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Erik Hjelmvik 2 Estimated H-index: These restrictions respect privacy, technological and practical constraints.

Hall University of Waikato. Are you looking for Christian Dewes 2 Estimated H-index: Network packet Tracing software. Supporting the visualization and forensic analysis of network events.

William Aiello 33 Estimated H-index: Pieter Burghouwt 3 Estimated H-index: Furthermore, our approach has two important features. Andrea Baiocchi 17 Estimated H-index: Skip to search form Skip to main content.

Second, it can be tuned to balance the accuracy of the classification versus the number of successfully classified traffic flows. Pavel Piskac 1 Estimated H-index: In contrast to previous methods, our approach is based on observing and identifying patterns of host behavior at the transport layer.

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Toward the accurate identification of network applications Andrew W. Transport layer Traffic flow Computer network Computer security Computer science Distributed computing Payload Port computer networking Network packet Traffic classification.

BLINC: multilevel traffic classification in the dark

Claffy 1 Estimated H-index: Statistical Clustering of Internet Communication Patterns. This paper has 1, citations.

Citation Statistics 1, Citations 0 50 ’07 ’10 ’13 ‘ From This Paper Topics from this paper. Daniele Piccitto 1 Estimated H-index: KleinbergDoug J. Thomas Karagiannis 32 Estimated H-index: We analyze these patterns at three levels of increasing detail i the social, ii the functional and iii the application level.

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Semantic Scholar estimates that this publication has 1, citations based on the available data. A flow measurement architecture to preserve application structure Myungjin LeeMohammad Y.

We demonstrate the effectiveness of our approach on three real traces. Architecture of a network monitor. Topics Discussed in This Paper. An analysis of Internet chat systems. Sung-Ho Yoon 6 Estimated H-index: Using of time characteristics in data flow for traffic classification.

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Citations Publications citing this paper. In contrast to previous methods, our approach is based on observing and identifying patterns of host behavior at the transport layer.

BLINC: multilevel traffic classification in the dark – Semantic Scholar

Download PDF Cite this paper. Internet application traffic classification using fixed IP-port. Gang Xiong 4 Estimated H-index: We analyze these patterns at three levels of increasing detail i the social, ii the functional and iii the application level. Thomas Karagiannis 1 Estimated H-index: Moore 24 Estimated H-index: Other Papers By First Author. File-sharing in the Internet: