Rogue Base Station Detection Using A Machine Learning Approach

Abstract

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.