Detecting attacks against IEEE 802.11 Enterprise Networks

Rhys Clements


Supervised by Eirini S Anthi; Moderated by Hiroyuki Kido

With the proliferation of smart portable devices like smartphones, tablets, and IoT devices, WiFi (IEEE 802.11) has been established as the dominant technology for connecting digital devices in Wireless Local Area Networks (WLAN). However, the security of WiFi-based networks, as well as the 802.11 protocol itself, have not been studied extensively. This project will use the recently released AWID3 [1] dataset to further understand attacks that may compromise this system and build a detector to prevent them.

[1] E. Chatzoglou, G. Kambourakis and C. Kolias, "Empirical Evaluation of Attacks Against IEEE 802.11 Enterprise Networks: The AWID3 Dataset," in IEEE Access, vol. 9, pp. 34188-34205, 2021, doi: 10.1109/ACCESS.2021.3061609.

Initial Plan (06/02/2023) [Zip Archive]

Final Report (12/05/2023) [Zip Archive]

Publication Form