loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: F. J. Salcedo-Campos ; J. E. Díaz-Verdejo and P. García-Teodoro

Affiliation: University of Granada, Spain

Keyword(s): P2P identification, Feature extraction, Flow parameterization, Multiple vector classification.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Network Monitoring and Control ; Network Protocols ; Telecommunications ; Traffic Measurement, Analysis, Modeling and Visualization

Abstract: The identification of P2P traffic has become a principal concern for the research community in the last years. Although several P2P traffic identification proposals can be found in the specialized literature, the problem still persists mainly due to obfuscation and privacy matters. This paper presents a flow-based P2P traffic identification scheme which is based on a multiple classification procedure. First, every traffic flow monitored is parameterized by using three different groups of features: time related features, data transfer features and signalling features. After that, a flow identification process is performed for each group of features. Finally, a global identification procedure is carried out by combining the three individual classifications. Promising experimental results have been obtained by using a basic KNN scheme as the classifier. These results provide some insights on the relevance of the group of features considered and demonstrate the validity of our approach t o identify P2P traffic in a reliable way, while content inspection is avoided. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.168.113.41

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
J. Salcedo-Campos, F.; E. Díaz-Verdejo, J. and García-Teodoro, P. (2011). MULTIPLE VECTOR CLASSIFICATION FOR P2P TRAFFIC IDENTIFICATION. In Proceedings of the International Conference on Data Communication Networking and Optical Communication System (ICETE 2011) - DCNET; ISBN 978-989-8425-69-0, SciTePress, pages 5-13. DOI: 10.5220/0003457800050013

@conference{dcnet11,
author={F. {J. Salcedo{-}Campos}. and J. {E. Díaz{-}Verdejo}. and P. García{-}Teodoro.},
title={MULTIPLE VECTOR CLASSIFICATION FOR P2P TRAFFIC IDENTIFICATION},
booktitle={Proceedings of the International Conference on Data Communication Networking and Optical Communication System (ICETE 2011) - DCNET},
year={2011},
pages={5-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003457800050013},
isbn={978-989-8425-69-0},
}

TY - CONF

JO - Proceedings of the International Conference on Data Communication Networking and Optical Communication System (ICETE 2011) - DCNET
TI - MULTIPLE VECTOR CLASSIFICATION FOR P2P TRAFFIC IDENTIFICATION
SN - 978-989-8425-69-0
AU - J. Salcedo-Campos, F.
AU - E. Díaz-Verdejo, J.
AU - García-Teodoro, P.
PY - 2011
SP - 5
EP - 13
DO - 10.5220/0003457800050013
PB - SciTePress