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A. Dainotti, W. de Donato, A. Pescape, and G. Ventre, "TIE: a Community-oriented Traffic Classification Platform", in International Workshop on Traffic Monitoring and Analysis (TMA), 2009.
TIE: a Community-oriented Traffic Classification Platform
Authors: A. Dainotti
W. de Donato
A. Pescape
G. Ventre
Published: International Workshop on Traffic Monitoring and Analysis (TMA), 2009
URL:http://wpage.unina.it/alberto/papers/TR-DIS-10-2008-TIE.pdf
ABSTRACT: During the last years the research on network traffic classification has become very active. The research community, moved by increasing difficulties in the automated identification of network traffic and by concerns related to user privacy, started to investigate and propose classification approaches alternative to port-based and payload-based techniques. Despite the large quantity of works published in the past few years on this topic, very few implementations targeting alternative approaches were made available to the community. Moreover, most approaches proposed in literature suffer of problems related to the ability of evaluating and comparing them. In this paper we present a novel community-oriented software for traffic classification called TIE, which aims at becoming a common tool for the fair evaluation and comparison of different techniques and at fostering the sharing of common implementations and data. Moreover, TIE supports the combination of more classification plugins in order to build multiclassifier systems, and its architecture is designed to allow online traffic classification. In this paper, we also present the implementation of two basic techniques as classification plugins, which are already distributed with TIE. Finally we report on the development of several classification plugins, implementing novel classification techniques, carried out through collaborations with other research groups.
RESULTS:
  • present a novel community-oriented software for traffic classification, which aims at becoming a common tool for the fair evaluation and comparison of different techniques and at fostering the sharing of common implementations and data
  • this software supports the combination of classification plugins
  • report on the development of several classification plugins
  Last Modified: Wed Mar-27-2019 22:23:19 PDT
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