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Kolias, C., Stavrou, A., Voas, J., Bojanova, I., Kuhn, R., “Learning Internet-of-things security ‘Hands-on’”. IEEE Secur. Priv. 20 (February), 2-11.

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Article

A Lightweight Rogue Access Point Detection Algorithm for Embedded Internet of Things (IoT) Devices

1Faculty of Electrical/Computer Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana


Information Security and Computer Fraud. 2019, Vol. 7 No. 1, 7-12
DOI: 10.12691/iscf-7-1-2
Copyright © 2019 Science and Education Publishing

Cite this paper:
Justice Owusu Agyemang, Jerry John Kponyo, Griffith Selorm Klogo. A Lightweight Rogue Access Point Detection Algorithm for Embedded Internet of Things (IoT) Devices. Information Security and Computer Fraud. 2019; 7(1):7-12. doi: 10.12691/iscf-7-1-2.

Correspondence to: Jerry  John Kponyo, Faculty of Electrical/Computer Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Email: jjkponyo@ieee.org

Abstract

The Internet of Things (IoT) is a new paradigm that enables the convergence of smart objects and the internet. This convergence has led to the creation of an intelligent network that connects all things to the internet for the purpose of exchanging information. The direct connection of IoT devices to the internet makes them susceptible to several security threats. Researchers have developed techniques aimed at enhancing security of IoT devices at both network and application layers. In this paper, we present a real-time and lightweight algorithm, based on information theoretic approach, that enables rogue access point detection for embedded IoT devices. This is to ensure that WiFi-enabled IoT devices can intelligently distinguish between legitimate and rogue access points. We evaluated the performance of the algorithm with respect to the detection rate and also CPU utilization efficiency.

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