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.
|Title of host publication||2018 25th International Conference on Telecommunications (ICT)|
|Publication status||Published - 17 Sep 2018|
|Event||2018 25th International Conference on Telecommunications (ICT) - Saint-Malo, France|
Duration: 26 Jun 2018 → 28 Jun 2018
|Conference||2018 25th International Conference on Telecommunications (ICT)|
|Period||26/06/18 → 28/06/18|