Work

Service-based traffic classification: Principles and validation

Year: 2009

Type: conference-paper

Abstract: This paper presents a novel approach in traffic classification that is based on the identification of the service that generates the traffic. This method is, in some sense, orthogonal to current approaches and it can be used as an efficient complement to existing methods to reduce computation and memory requirements. Experimental results on real traffic confirm that this method is extremely effective and may improve considerably the accuracy of traffic classification, while it is suitable to a large number of applications.

Source: IEEE Sarnoff Symposium

DOI: 10.1109/sarnof.2009.4850330

Authors: M. Baldi, A. Baldini, N. Cascarano, F. Risso

Institutions: Politecnico di Torino, Cisco Systems (United States)

Language: English

Topic: Internet Traffic Analysis and Secure E-voting

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

OpenAlex ID: W2014872186