A dataset for evaluating intrusion detection systems in IEEE 802.11 wireless networks

Author

Vilela, Douglas W. F. L. ; Ferreira, E.T. ; Shinoda, A.A. ; de Souza Araujo, Nelcileno V. ; de Oliveira, R. ; Nascimento, Valtemir E.

Author_Institution

Dept. de Eng. Eletr., Univ. Estadual Paulista Julio de Mesquita Filho, Ilha Solteira, Brazil

fYear

2014

fDate

4-6 June 2014

Firstpage

1

Lastpage

5

Abstract

Internet access by wireless networks has grownconsiderably in recent years. However, these networks are vulnerable to security problems, especially those related to denial of service attacks. Intrusion Detection Systems(IDS)are widely used to improve network security, but comparison among the several existing approaches is not a trivial task. This paperproposes building a datasetfor evaluating IDS in wireless environments. The data were captured in a real, operating network. We conducted tests using traditional IDS and achievedgreat results, which showed the effectiveness of our proposed approach.

Keywords

IEEE standards; computer network security; data analysis; wireless LAN; IDS; IEEE 802.11 wireless networks; dataset evaluation; intrusion detection systems; Classification algorithms; Communication system security; Intrusion detection; Training; Wireless networks; Bayes Net; Dataset; neural networks; pattern classification; security;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Computing (COLCOM), 2014 IEEE Colombian Conference on

Conference_Location

Bogota

Print_ISBN

978-1-4799-4342-5

Type

conf

DOI

10.1109/ColComCon.2014.6860434

Filename

6860434