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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Internet application traffic classification using fixed IP-port. William Aiello 33 Estimated H-index: Shelton 25 Estimated H-index: Topics Discussed in This Paper.
From This Paper Topics from this paper. This multilevel approach of looking at traffic flow is probably the most important contribution of this paper. See our FAQ for additional information.
A parameterizable methodology for Internet traffic flow profiling. Is P2P dying or just hiding? Christian Dewes 2 Estimated H-index: Second, it can be tuned to balance the accuracy of the classification versus the number of successfully classified traffic flows.
Toward the accurate identification of network applications Andrew W.
Using of time characteristics in data flow for traffic classification. Gang Xiong 4 Estimated H-index: An analysis of Internet chat systems. Daniele Piccitto 1 Estimated H-index: Internet traffic classification using bayesian analysis techniques. This paper has highly influenced other papers. Terry Winograd 61 Estimated H-index: This paper has 1, citations.
Transport layer Traffic flow Computer network Computer security Computer science Distributed computing Payload Port computer networking Network packet Traffic classification. Pavel Piskac 1 Estimated H-index: Are you looking for We analyze these patterns at three levels thr increasing detail i the social, ii the functional and iii the application level.
BLINC: multilevel traffic classification in the dark
Andrea Baiocchi 17 Estimated H-index: Network packet Tracing software. Erik Hjelmvik 2 Estimated H-index: Supporting the visualization and classirication analysis of network events. Other Papers By First Author.
Thomas Karagiannis 32 Estimated H-index: Skip to search form Skip to main content. Architecture of a network monitor. 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
Semantic Scholar estimates that this publication has 1, citations based on the available data. First, it operates in the darkhaving a no access to packet payload, b no knowledge clasification port numbers and c no additional information other than what current flow collectors provide. Statistical Clustering of Internet Communication Patterns. Showing of extracted citations. Furthermore, our approach has two important features.
File-sharing in the Internet: Pieter Burghouwt 3 Estimated H-index: Traffic Mining in IP Tunnels. Cited 3 Source Add To Collection. Claffy 1 Estimated H-index: