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Conference Paper
Network Detection of Fake Base Station using Automatic Neighbour Relation in Self-Organizing Networks
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- Authors
- Jisoo Shin, Yongyoon Shin, Jong-Geun Park
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.968-970
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 5G is the fifth-generation cellular network technology that virtualizes networks, is software-driven, and utilizes cloud technology. It is designed to increase speeds of mobile services while reducing latency and improving flexibility. Self-Organizing Networks that begins standardization with 4G is an automation technology designed to make the planning, configuration, management, optimization, and troubleshooting of cellular networks simpler and faster. With the development of cellular networks, new types of threats are continuously being discovered, and academia and industry are carrying out various studies on network threats and solutions. A fake base station, one of the representative threats, can collect user information or perform a denial of service attack by disguising a normal base station. We propose a method to detect fake base stations and to protect user equipments using Automatic Neighbor Relation, one of the core technologies of the Self-Organizing Networks.
- KSP Keywords
- Automatic Neighbor Relation(ANR), Cellular networks, Denial of service attack, Fifth Generation(5G), Mobile services, Network Threat, Network detection, Network technology, Self-organizing network, User equipment(UE), base station(BS)