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author:

Cao, P. (Cao, P..) [1] | Zhang, J. (Zhang, J..) [2]

Indexed by:

Scopus

Abstract:

Traffic identification using statistic features of traffic flows has attracted a great deal of interest. One challenging issue for these methods is that they ignore the short flows containing just 2-3 packets, for statistic features of short flows are mainly insignificant or meaningless. A topology-based method combining heuristic rules and deep-in packet inspection is proposed to identify the application types of traffic flows. The experiment results demonstrate that the method can get higher precisions and similar recalls compared to deep-in packet inspection method.© (2012) Trans Tech Publications, Switzerland.

Keyword:

Deep-in packet inspection; Heuristic rules; Topology patterns; Traffic identification

Community:

  • [ 1 ] [Cao, P.]School of Public Administration, Fuzhou University, Fuzhou Fujian, 350108, China
  • [ 2 ] [Zhang, J.]Department of Computer Science, Minjiang University, Fuzhou Fujian, 350108, China

Reprint 's Address:

  • [Cao, P.]School of Public Administration, Fuzhou University, Fuzhou Fujian, 350108, China

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Source :

Advanced Materials Research

ISSN: 1022-6680

Year: 2012

Volume: 588-589

Page: 1427-1430

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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