基于大数据的通信网络匿名用户认证优化  

Optimization of anonymous user authentication in communication network based on big data

作　　者：朱祺 ZHU Qi(China Mobile Communications Group Zhejiang Co.,Ltd.,Hangzhou Branch,Hangzhou 310000,China)

机构地区：[1]中国移动通信集团浙江有限公司杭州分公司,杭州310000

出　　处：《信息技术》2023年第6期139-143,148,共6页Information Technology

摘　　要：由于匿名用户画像刻画方式的差异,使得传统的移动通信网络用户认证过程的时延较高。为此,提出了基于大数据分析的移动通信网络匿名用户认证优化方法。在大数据分析技术的支持下,利用判定树算法快速构建匿名用户画像,然后利用网络节点计算匿名网络通信的可信度;依托于DAA认证方案建立用户认证优化机制,实现匿名用户快速认证。实例应用结果表明:该方法能够使用户认证时延降低105ms,有效增强了移动通信网络的灵活性。Due to the difference of anonymous user portrait,the authentication time delay of traditional mobile communication network user authentication process is high.Therefore,this study proposes an anonymous user authentication optimization method for mobile communication network based on big data analysis.With the support of big data analysis technology,a decision tree algorithm is used to quickly construct anonymous user portraits,and then network nodes are used to calculate the reliability of anonymous network communication.Based on this,the user authentication optimization mechanism based on DAA authentication scheme is established to achieve rapid anonymous user authentication.The application results show that the proposed method can reduce user authentication delay by 105ms,and effectively enhance the flexibility of mobile communication network.

关 键 词：大数据分析 移动通信网络 匿名用户 可信度 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]