Automated Fake Access Point Attack Detection and Prevention System with IoT Devices

Year 2020, Volume: 8 Issue: 1, 50 - 56, 31.01.2020

İlhan Fırat Kılınçer , Fatih Ertam , Abdülkadir Şengür

https://doi.org/10.17694/bajece.634104

Cited By: 1

Abstract

Wireless access points (APs), which allow
many devices to be easily connected to the Internet, are widely used today
because they offer the easiest way to connect to the Internet. With the
development of the concept of Internet of Things (IoT), WiFi networks are
widely used in our homes, workplaces, social areas, campus areas. With the
increase of WiFi networks, attacks on these networks are constantly increasing.
In this study, an IoT-based approach to detect and prevent Fake Access point
attacks frequently seen in WiFi networks is proposed. A Single Board Computer
(SBC) and a wireless antenna in the "Soft AP" feature are used for
operation. Fake APs were detected by air scanning. In the first phase of the
study, fake Access point broadcasts have been created which can create security
weakness. In order to determine the fake Access points created in the second
stage, SBC and wifi module were used to scan air. In the final stage, the mac
address of the fake AP has been assigned to an unauthorized Virtual Local Area
Network (vLAN) on the network to prevent detected fake AP broadcasts. The
possible attack methods for the study were implemented and it was revealed that
the proposed approach prevented the attack successfully in all scenarios. The
study is seen as an effective, developed and economically useful IoT
application for network administrators to prevent the attack using fake Access
point.

Keywords

Attack detection, Attack prevention, Network security, Wireless access point security, Internet security, IoT

Supporting Institution

Fırat Üniversitesi

Project Number

TEKF.18.13.

Thanks

This work was supported by the FUBAP (Firat University Scientific Research Projects Unit) under Grant No: TEKF.18.13.

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