Rogue Access Point Detection on Wireless Networks Using RTT Analysis and K-means

Main Article Content

Phuthanet Mekpayom
Nattapong Jundang

Abstract

While the rapid expansion of WLAN technology facilitates daily life, it has simultaneously increased cybersecurity risks, particularly from Rogue Access Points (RAP) using the IEEE 802.11 standard. This vulnerability exposes users to Man-in-the-Middle (MitM) attacks and data theft. This research investigates these threats using experimental and statistical methods. Utilizing the K-means algorithm on real-world data, the proposed model identifies malicious access points with 99.7% accuracy. Finally, the study offers actionable guidelines to strengthen network security for both individuals and organizations.

Article Details

Section
Research Articles

References

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