ATTENTION/WARNING - NE PAS DÉPOSER ICI/DO NOT SUBMIT HERE

Ceci est la version de TEST de DIAL.mem. Veuillez ne pas soumettre votre mémoire sur ce site mais bien à l'URL suivante: 'https://thesis.dial.uclouvain.be'.
This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

Detection, identification and localization of WLAN devices using IEEE802.11 standard

(2024)

Files

Calaras_21631700_2024.pdf
  • UCLouvain restricted access
  • Adobe PDF
  • 975.69 KB

Details

Supervisors
Faculty
Degree label
Abstract
This document explores methods to exploit the IEEE 802.11 standard for detecting, identifying, and localizing Wi-Fi devices. The primary techniques involve sniffing radio waves to collect frames and analyzing them, as well as impersonating an access point to manipulate IEEE 802.11 devices. This is achieved using widely available equipment, specifically a Wi-Fi interface capable of monitor mode, combined with networking tools such as the airmon-ng library and the Scapy Python library. The paper first provides an overview of the IEEE 802.11 standard, followed by a presentation of the tools used. It then details various techniques for detecting, identifying, and localizing Wi-Fi devices, and concludes with tests that highlight the strengths and limitations of these methods.