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AI驱动的移动通信网用户行为分析技术研究

Research on AI-Driven User Behavior Analysis Technology for Mobile Communication Network
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摘要 随着移动通信网技术的不断发展,网络边界趋于消失,接入方式日益复杂,网络用户行为监管和内部安全管控的难度显著增加。通过引入AI驱动的用户与实体行为分析(UEBA)技术,可以有效应对这一安全挑战。介绍了UEBA技术的基本概念与技术流程,分析了UEBA技术在移动通信领域应用的可行性,并对其未来发展趋势作出展望。 With the continuous development of mobile telecommunication network technology,network boundaries are gradually vanishing,access methods are becoming increasingly complex,and the difficulty of regulating user behavior and controlling internal security has significantly increased.The introduction of AI-driven User and Entity Behavior Analytics(UEBA)technology can effectively address the security challenge.It introduces the basic concepts and technical processes of UEBA technology,analyzes the feasibility of applying UEBA technology in the field of mobile telecommunication,and provides an outlook on the future development trends.
作者 谢中怀 张曼君 谢泽铖 Xie Zhonghuai;Zhang Manjun;Xie Zecheng(China Unicom Research Institute,Beijing 100048,China)
机构地区 中国联通研究院
出处 《邮电设计技术》 2025年第9期43-46,共4页 Designing Techniques of Posts and Telecommunications
关键词 移动通信网络安全 用户行为分析 人工智能 内部威胁 Mobile telecommunication network security User behavior analysis Artificial intelligence(AI) Internal threats
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