Enhancing the Reliability of Wi-Fi Network Using Evil Twin AP Detection Method Based on Machine Learning


Jeonghoon Seo, Chaeho Cho, Yoojae Won, Journal of Information Processing Systems Vol. 16, No. 3, pp. 541-556, Jun. 2020  

https://doi.org/10.3745/JIPS.03.0137
Keywords: Access point, Classification Algorithm, clock skew, Evil Twin AP, rogue AP, wireless network
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Abstract

Wireless networks have become integral to society as they provide mobility and scalability advantages. However, their disadvantage is that they cannot control the media, which makes them vulnerable to various types of attacks. One example of such attacks is the evil twin access point (AP) attack, in which an authorized AP is impersonated by mimicking its service set identifier (SSID) and media access control (MAC) address. Evil twin APs are a major source of deception in wireless networks, facilitating message forgery and eavesdropping. Hence, it is necessary to detect them rapidly. To this end, numerous methods using clock skew have been proposed for evil twin AP detection. However, clock skew is difficult to calculate precisely because wireless networks are vulnerable to noise. This paper proposes an evil twin AP detection method that uses a multiple-feature-based machine learning classification algorithm. The features used in the proposed method are clock skew, channel, received signal strength, and duration. The results of experiments conducted indicate that the proposed method has an evil twin AP detection accuracy of 100% using the random forest algorithm.


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Cite this article
[APA Style]
Seo, J., Cho, C., & Won, Y. (2020). Enhancing the Reliability of Wi-Fi Network Using Evil Twin AP Detection Method Based on Machine Learning. Journal of Information Processing Systems, 16(3), 541-556. DOI: 10.3745/JIPS.03.0137.

[IEEE Style]
J. Seo, C. Cho, Y. Won, "Enhancing the Reliability of Wi-Fi Network Using Evil Twin AP Detection Method Based on Machine Learning," Journal of Information Processing Systems, vol. 16, no. 3, pp. 541-556, 2020. DOI: 10.3745/JIPS.03.0137.

[ACM Style]
Jeonghoon Seo, Chaeho Cho, and Yoojae Won. 2020. Enhancing the Reliability of Wi-Fi Network Using Evil Twin AP Detection Method Based on Machine Learning. Journal of Information Processing Systems, 16, 3, (2020), 541-556. DOI: 10.3745/JIPS.03.0137.