ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 Network Detection of Fake Base Station using Automatic Neighbour Relation in Self-Organizing Networks
Cited 1 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
신지수, 신용윤, 박종근
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.968-970
22HR2400, 5G+ 서비스 안정성 보장을 위한 엣지 시큐리티 기술 개발, 박종근
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 제안 키워드
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)