Skip to Content
[CAIDA - Center for Applied Internet Data Analysis logo]
Center for Applied Internet Data Analysis > publications : papers : 2014 : traffic_identification_engine
Traffic Identification Engine: An Open Platform for Traffic Classification
W. de Donato, A. Pescapè, and A. Dainotti, "Traffic Identification Engine: An Open Platform for Traffic Classification", IEEE Network, vol. 28, no. 2, pp. 56--64, Mar 2014.
|   View full paper:    PDF    DOI    |  Citation:    BibTeX    Resource Catalog   |

Traffic Identification Engine: An Open Platform for Traffic Classification

Walter de Donato2
Antonio Pescapè2
Alberto Dainotti1

CAIDA, San Diego Supercomputer Center, University of California San Diego


University of Napoli Federico II,
Napoli, Italy

The availability of open source traffic classification systems designed for both experimental and operational use, can facilitate collaboration, convergence on standard definitions and procedures, and reliable evaluation of techniques. In this article, we describe Traffic Identification Engine (TIE), an open source tool for network traffic classification, which we started developing in 2008 to promote sharing common implementations and data in this field. We designed TIE‛s architecture and functionalities focusing on the evaluation, comparison, and combination of different traffic classification techniques, which can be applied to both live traffic and previously captured traffic traces. Through scientific collaborations, and thanks to the support of the open source community, this platform gradually evolved over the past five years, supporting an increasing number of functionalities, some of which we highlight in this article through sample use cases.

Keywords: data sharing, measurement methodology, passive data analysis, security
  Last Modified: Tue Nov-17-2020 04:47:19 UTC
  Page URL: