Abstract
Recently, rogue base station (RBS) attack is growing common. A RBS attack occurs when an attacker uses a fake base station (FBS) to mimic a legitimate base station, luring phone users to connect and facilitating activities like stealing personal information and sending spam messages. This type of attack poses a significant threat to users privacy and security and has a serious impact on the operation and management of mobile networks. To address RBS attacks, it is essential to create a RBS/FBS detection system. In this paper, we proposed three different approaches to detect RBS/FBS, including the user equipment (UE) approach, core network (CN) approach, and Radio Access Network (RAN) approach. Finally, we integrate the three approaches mentioned above into a monitoring user interface (UI). This UI can instantly display the locations where FBS are detected and track the moving trajectories of FBS through heatmaps over a period of time. Our proposed RBS/FBS detection system can detect RBS in real time, block attacks, and ensure service quality.
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References
Ollmann, G.: The Phishing Guide-Understanding and Preventing Phishing Attacks, September 2004
Gartner. Tap Into The Marketing Power of SMS (2016). https://www.gartner.com/en/marketing/insights/articles/tap-into-the-marketing-power-of-sms
Huang, T.: Taiwan busts fraudster using fake base station to scam victims (2023). https://www.taiwannews.com.tw/en/news/4857528
Mouly, M., Pautet, M.: The GSM System for Mobile Communications. Telecom publishing, USA (1992)
Bitsikas, E., Pöpper, C.: Don’t hand it over: vulnerabilities in the handover procedure of cellular telecommunications. In: Annual Computer Security Applications Conference, pp. 900–915 (2021)
Mawaldi, I., Anugraha, T., Ginting, I., Karna, N., et al.: Experimental security analysis for fake eNodeB attack on LTE network. In: 2020 3rd International Seminar On Research of Information Technology and Intelligent Systems (ISRITI), pp. 140–145 (2020)
Hua, Y., Zhang, Y., Liu, Q., Liu, Y., Song, Y.: The Fake BTS detection and location on smart phones. In: Proceedings Of The 2017 International Conference On Industrial Design Engineering, pp. 116–120 (2017)
Li, Z., et al.: FBS-Radar: uncovering fake base stations at scale in the wild. NDSS (2017)
Ali, A., Fischer, G.: The phase noise and clock synchronous carrier frequency offset based RF fingerprinting for the fake base station detection. In: 2019 IEEE 20th Wireless and Microwave Technology Conference (WAMICON), pp. 1–6 (2019)
Steig, S., Aarnes, A., Van Do, T., Nguyen, H.: A network based IMSI catcher detection. In: 2016 6th International Conference On IT Convergence and Security (ICITCS), pp. 1–6 (2016)
Shin, J., Shin, Y., Park, J.: Network detection of fake base station using automatic neighbour relation in self-organizing networks. In: 2022 13th International Conference On Information and Communication Technology Convergence (ICTC), pp. 968–970 (2022)
Dabrowski, A., Petzl, G., Weippl, E.: The messenger shoots back: network operator based IMSI catcher detection. In: Research In Attacks, Intrusions, and Defenses: 19th International Symposium, RAID 2016, Paris, France, 19–21 September 2016, Proceedings 19, pp. 279–302 (2016)
Leaver, D.: Leaflet.markercluster. GitHub Repository (2012). https://github.com/Leaflet/Leaflet.markercluster
Agafonkin, V.: Leaflet.heat. GitHub Repository (2015). https://github.com/Leaflet/Leaflet.heat
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Wen, YT. et al. (2024). Real-Time Rogue Base Stations Detection System in Cellular Networks. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 204. Springer, Cham. https://doi.org/10.1007/978-3-031-57942-4_45
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DOI: https://doi.org/10.1007/978-3-031-57942-4_45
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