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Arisandi, Diki
Program Studi Teknik Informatika, Fakultas Teknik, Universitas Abdurrab
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Journal : Emerging Science Journal

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Invisible Scout: A Layer 2 Anomaly System for Detecting Rogue Access Point (RAP) Arisandi, Diki; Ahmad, Nazrul M.; Kannan, Subarmaniam
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-016

Abstract

Rogue Access Points (RAPs) pose a significant security threat by mimicking legitimate Wi-Fi networks and potentially compromising sensitive data. To address this issue, this research has proposed an innovative mechanism called Invisible Scout, which uses a multi-module system to identify RAPs. This study aimed to develop and validate a mechanism capable of accurately detecting RAPs in controlled setups, real-world environments, and under de-authentication attack scenarios. The proposed system consists of four key modules: sniffer, detection, probing, and comparison. To evaluate its effectiveness, tests were conducted in controlled and open environments and under de-authentication scenarios, using decision tree models and various metrics to assess performance. The decision tree model showed promising results in the controlled setup, achieving an Area Under the Curve (AUC) score of 0.921 and classification accuracy (CA) of 0.875, indicating that the model effectively distinguished between legitimate access points and RAPs. When tested in an open environment, the model's performance improved, achieving an AUC score of 0.952 and a CA of 0.994. Furthermore, under a de-authentication attack, the model achieved an AUC score of 0.955 and a CA of 0.996. To gain a deeper understanding of RAP behaviors, linear regression analysis was conducted, revealing patterns and visualizing the existence of RAPs, which could assist in further analysis. In conclusion, the results demonstrated that the proposed mechanism was highly effective in identifying RAPs. Future research should focus on refining the detection mechanism, incorporating real-time response capabilities, and expanding testing to diverse network scenarios. Doi: 10.28991/ESJ-2025-09-01-016 Full Text: PDF
Co-Authors Ade saputra AGUS Agus Silpiah Ahmad, Nazrul M. Airin Triyana Aldi Ramadhan Putra Algusri, Jeki Amir Syamsuadi Amir Syamsuadi Ananda, Firsha Annisah, Annisah Ardian Adi Putra, Ardian Adi Ardinan Ardinan, Ardinan Bahjatul Murtasidin Baso, Budiman Clara Kartika Debi Setiawan Debi Setiawan Debi Setiawan Debi Setiawan Debi Setiawan, Debi Dian Puji Puspita Sari Diding Nurdin, Diding Dona Rahmat Putra Elvitaria Luluk Luluk Elvitria, Luluk Farras, Aqil Gilang Wiranda Hartati, Seri Hartati, Seri Hendri Ali Ardi, Hendri Ali Hidayat, Dandi Husaini, Rizki Ramadhan Ibrahim, Akhmas Ghani Indra , Zul Ira Puspita Sari Ira Puspita Sari Ira Puspita Sari Ira Puspitasari Isra, Harmen Kannan, Subarmaniam Karpen Kartini Kartini Lasiah Susanti Liza Trisnawati Luluk Elvitaria Luluk Elvitaria Luluk Elvitaria, Luluk M. Fajar Anugerah Maya Yuliana Mentari Dwi Aristi Mizan Asnawi Mizan Asnawi, Mizan Moh Baharudin Yusuf Muhammad Fajar Anugerah Muhammad Hanif Ahda Muhammad Musyafak Mutiara, Destita Nababan, Darsono Nafisah Utami Nazrul Muhaimin Ahmad Norra Isnasia Rahayu Novi Yanti Nugroho, Sapto Setyo Pratama, M.Charlie Puspa Ningrum Radi Syafirman Risald Roni Salambue Roni Saputra Salamun Salamun Salamun Salamun Saputra, Haris Tri Sarah Fadila Selfi Septia Tauri Seri Hartati Seri Hartati Siska Dewi Putri Siska Dewi Putri, Siska Siti Hanifa Sandri, Siti Hanifa Siti Niah, Siti Subarmaniam Kannan Sukri Sukri Sukri Sukri sukri Sukri, sukri Suriyanti, Linda Hetri Suryadiputra Liawatimena Tengku Fahrul Gafar Valeriano Fajar Alexandro Nipu Vrabora, Givo Wahyu Hermawan Weli Andrian Widdya Rahmalina Wita Yulianti Wita Yulianti Yeni Dwi Fahlufi Yulia Darma Yanti Zul Indra