作　　者： (）;

机构地区： 中国联通

出　　处： 《邮电设计技术》 2018年第4期59-62,共4页

摘　　要： 基于武汉联通A口信令数据,得到不同类型伪基站的画像特征统计,进而确定决策树算法对伪基站进行分类,并对伪基站分类结果进行了精度分析,分类总体精度达到92.5%,表明该方法能有效地对伪基站进行分类与识别,精度较高,对于伪基站分类具有一定的普遍适用性,为实现伪基站的自动提取提供了理论依据和有效的方法途径。 Based on A interface signaling data of Wuhan Unicom,image feature statistics of various pseudo base station based on A interface signaling were gotten to define the decision three algorithm for pseudo base station classification.Accuracy evaluation of the pseudo base station classification is made,the overall precision of the pseudo base station classification was 92.5%,the result showed the classification method can classify and discriminate pseudo base station effectively,and the precision is high.As to pseudo base station classification with different data source,the method has universality.The pseudo base station classification method provides effective theoretical foundation and method for extracting pseudo base station automatically.

关 键 词： 口信令 伪基站 决策树 画像特征

领　　域： []