@inproceedings{37e99f97a2da4929b2584b1d8dfab98d,
title = "Optimizing wireless network throughput under the condition of Physical Layer Security using Software-Defined Networking enabled collaboration",
abstract = "We investigated if independent wireless operators can effectively collaborate using Software-Defined Wireless Networking (SDWN) to achieve secret wireless communications and optimize useful throughput under the condition of Physical-Layer Security enabled secrecy in heavily contended spectrum. We studied this on the level of useful throughput, in addition to Signal-to-Interference-plus-Noise Ratio. The investigation was carried out by means of a series of discrete event simulations of a realistic Wi-Fi network deployment. We found that the difference between the user throughputs of the legitimate station and the eavesdropper could be a reasonably good proxy for secrecy capacity and conclude that SDWN controllers should ideally optimize the network based on empirical feedback from the system and active learning mechanisms, rather than on hard-programmed pre-calculated network models.",
keywords = "Mobile and wireless security, physical layer security, spectrum trading, wireless systems security",
author = "Ramtin Ranji and Uzzam Javed and Bert Boltjes and Fay{\c c}al Bouhafs and {Den Hartog}, Frank",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE Consumer Communications and Networking Conference, CCNC 2023 ; Conference date: 08-01-2023 Through 11-01-2023",
year = "2023",
doi = "10.1109/CCNC51644.2023.10060341",
language = "English",
series = "Proceedings - IEEE Consumer Communications and Networking Conference, CCNC",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "1--6",
editor = "Kaushik Chowdhury and Jung, {Bang Chul} and Silvia Mim and Luca Sciullo",
booktitle = "2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023",
address = "United States",
}