Rogue Base Station Detection Using A Machine Learning Approach

被引：8
|
作者：
Jin, Jian [1 ]
Lian, ChangLiang [1 ]
Xu, Ming [1 ]
机构：
[1] China Acad Informat & Commun Technol, China Telecommun Technol Labs Terminals, Beijing, Peoples R China
来源：
2019 28TH WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC) | 2019年
关键词：
Authentication; IMSI; RSRP; Identity; SIB; lightGBM;
D O I：
10.1109/wocc.2019.8770554
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel machine learning approach is proposed to identify the rogue base station in the mobile networks based on the key base station parameters. This paper also analyzes in detail the reasons and ways of rogue base station attack user equipment from the perspective of the 3GPP protocol standard. A well-known machine learning model "lightGBM" is used as the learning model. From the experiments, we can conclude that the proposed approach can reach the desired result.
引用
收藏
页码：301 / 305
页数：5
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