企业应用环境中的数据权限设计

Ying Yuan, Xin Yi, Junbin ShangGuan
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引用次数: 0

摘要

随着社会信息化程度的不断提高,企业建设的数字化也在全面发展。数据作为创造财富和竞争优势的重要来源,无疑是所有企业最重要的资产。然而,许多公司面临着数据粒度和配置灵活性不足的困境,这破坏了其数据资产的安全性和可用性。因此,本文以企业环境下的数据应用为背景,基于RBAC的理论基础,提出了一种基于api的数据权限控制模型(ADPC)。该模型首先将数据对象映射到企业部门结构中不同层次的环境变量,然后通过API配置灵活的权限授权和控制,最后使用SQL AST验证其安全性。采用Spring Boot、Spring security和MyBatis框架实现了ADPC模型,并在实际企业环境中进行了应用。通过这种方法,ADPC模型有效地解决了传统数据权限控制机制在企业应用环境中的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Data Permissions in the Enterprise Application Environment
With the continuous improvement of social informationization, the digitalization of corporate construction is also developing comprehensively. Data, as a crucial source for creating wealth and competitive advantage, is undoubtedly the most significant asset for all enterprises. However, many companies face the dilemma of insufficient data granularity and configuration flexibility, which undermines the security and availability of their data assets. Therefore, this paper proposes an Api-based data permission control model (ADPC) based on the theoretical foundation of RBAC in the background of data application in the enterprise environment. Firstly, the model maps data objects to different levels of environmental variables in the corporate department structure, then flexibly authorizes and controls permissions through API configuration, and finally verifies its security with SQL AST. The ADPC model was implemented using the Spring Boot, Spring Security and MyBatis framework and was applied in a real enterprise environment. Through this approach, the ADPC model effectively addresses the limitations of traditional data permission control mechanisms in the enterprise application environment.
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