面向移动互联网关联分析的多实体知识图谱设计与实现  

Design and implementation of a multi-entity knowledge graph for correlation analysis in mobile internet

作　　者：王淞鹤 王艳红 李京典[1,2] 武林娜 WANG Songhe;WANG Yanhong;LI Jingdian;WU Linna(CTTL Terminal Labs,China Academy of Information and Communications Technology,Beijing 100191,China;Key Laboratory of Mobile Application Innovation and Governance Technology,Beijing 100191,China)

机构地区：[1]中国信息通信研究院泰尔终端实验室,北京100191 [2]移动应用创新与治理技术工业和信息化部重点实验室,北京100191

出　　处：《信息通信技术与政策》2025年第3期89-96,共8页Information and Communications Technology and Policy

摘　　要：通过分析应用软件、软件开发工具包、开发运营者等不同实体间的关系特性设计和实现多实体知识图谱,提出基于多实体知识图谱的关系挖掘和关联分析方法,为用户隐私数据流动、风险应用软件溯源等典型安全场景提供新的研究思路和技术方案。By analyzing the relational characteristics among different entities such as APPs,SDKs,and developers,a multi-entity knowledge graph is designed and implemented.This approach proposes relationship mining and correlation analysis methods based on the multi-entity knowledge graph,offering new research perspectives and technical solutions for typical security scenarios such as user privacy data flow and risk APP traceability.

关 键 词：知识图谱 移动互联网 关联分析 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术] TP183[自动化与计算机技术—计算机科学与技术]