Detecting MAC Misbehavior of IEEE 802.11 Devices within Ultra Dense Wi-Fi Networks

Muhammad Shahwaiz Iqbal Afaqui, Stephen Brown, Ronan Farrell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The widespread deployment of IEEE 802.11 has made it an attractive target for potential attackers. The latest IEEE 802.11 standard has introduced encryption and authentication protocols that primarily address the issues of confidentiality and access control. However, improving network availability in the presence of misbehaving stations has not been addressed in the standard. Existing research addresses the problem of detecting misbehavior in scenarios without overlapping cells. However, in real scenarios cells overlap, resulting in a challenging environment for detecting misbehavior. The contribution of this paper is the presentation and evaluation of a new method for detecting misbehavior in this environment. This method is based on an objective function that uses a broad range of symptoms. Simulation results indicate that this new approach is very sensitive to misbehaving stations in ultra dense networks.
Original languageEnglish
Title of host publication2018 25th International Conference on Telecommunications (ICT)
PublisherIEEE
Pages213-219
ISBN (Electronic)9781538623213
DOIs
Publication statusPublished - 17 Sep 2018
Event2018 25th International Conference on Telecommunications (ICT) - Saint-Malo, France
Duration: 26 Jun 201828 Jun 2018

Conference

Conference2018 25th International Conference on Telecommunications (ICT)
Country/TerritoryFrance
CitySaint-Malo
Period26/06/1828/06/18

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