【作者】 于名飞； 颜伟荣；

【Author】 YU Mingfei;YAN Weirong;Big Data Management Center,Network Security and Information Technology Office of the Party Committce of Nankai University;

【机构】 南开大学党委网络安全和信息化办公室(大数据管理中心)；

【摘要】 在高校各类业务系统以及校级应用和服务的场景中,通常需要对服务对象进行选择、区分或限制,以便提供针对性的服务。因此,对人员进行身份标签化管理可以帮助系统快速定位服务对象。然而,由于高校人员结构和权威数据来源较为复杂,人员身份具有多维度和多层次的特征。同时,近年来我国对数据安全和隐私保护的重视程度不断提高。因此,原有基于树状目录的单维度分类体系和传统的数据授权模式已难以满足精细化、灵活化管理以及信息安全的实际需求。为解决这些问题,本研究提出了一种多维度标签化管理和授权的解决方案。该方案将标签体系分为基础标签、自定义标签、动态标签和组合标签四大类,并建立了灵活的标签授权体系,以实现对高校人员数据的有效管理。该方案具有一定的通用性,可作为高校智能化数据管理的有益参考。更多还原

【Abstract】 In various business systems of universities and campus-level applications and services scenarios,it is usually necessary to select,distinguish,or restrict the service objects to provide targeted service.Therefore,managing personnel with identity tags can help the system quickly locate service objects.However,due to the complexity of the personnel structure and authoritative data sources in universities,personnel identities have multi-dimensional and multi-level features.At the same time,China’s emphasis on data security and privacy protection has been increasing in recent years.Therefore,the traditional single-dimensional classification system and data authorization model based on tree-structured directories can no longer meet the actual needs of refined,flexible management,and information security.To solve these problems,this paper proposes a multi-dimensional tag-based management and authorization solution.It divides the tag system into four categories:basic tags,custom tags,dynamic tags,and combination tags,and establishes a flexible tag authorization system to effectively manage personnel data in universities.This solution has a certain universality and can serve as a useful reference for intelligent data management in universities.更多还原