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Client-side Evil-Twin access point detection using beacon-frame delay and wireless network parameter deviation

Wakhloo, Abhinav (2023) Client-side Evil-Twin access point detection using beacon-frame delay and wireless network parameter deviation. Masters thesis, Dublin, National College of Ireland.

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Abstract

The use of public Wi-Fi hotspots is beneficial for both users and service providers, with users able to access free wireless internet and service providers gaining potential customers. While users can easily take advantage of accessible Wi-Fi Internet hotspot networks in public, they are more vulnerable to man-in-the-middle (MIMT) attacks such as the Evil-Twin attack. An attacker can eavesdrop on communication channels by setting up an Evil-Twin access point and intercepting sensitive user information such as credentials or credit card numbers. Free open (unencrypted) public Wi-Fi hotspots lack security measures because their main goals are to be easily accessible and to draw customers. Simultaneously, the lack of awareness of the potential risk of connecting to such a network increase the severity of the threat. There is a critical need for client-side tools to assist wireless users in identifying and defending themselves against Evil-Twin attacks at public Wi-Fi hotspots. The focus of this research is to explore this problem and build a detection tool that bridges the gap between the limitations of the existing clientside detection solutions and the need to increase the wireless security of Wi-Fi Hotspots. The development of a prototype client-side Evil-Twin access point detection tool was guided by studying the core concepts, techniques, and specifications. The primary goal of this research thesis was to build a more effective solution by comparing the Wi-Fi auditing tools and wireless adapters available to perform Evil-Twin attacks. The evaluation results of the analysis showed that the detection tool can effectively determine the presence of an Evil-Twin access point.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Moldovan, Arghir-Nicolae
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Tamara Malone
Date Deposited: 08 May 2023 13:04
Last Modified: 08 May 2023 13:04
URI: https://norma.ncirl.ie/id/eprint/6555

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