基于MDA和QVT的安全数据仓库开发框架

E. Soler, J. Trujillo, E. Fernández-Medina, M. Piattini
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引用次数: 18

摘要

数据仓库(DW)存储从多个异构、自治和分布式信息源中提取的历史信息和聚合信息,因此必须在DW设计的早期阶段指定安全措施并加以实施。在过去的几年中,出现了一些关于DW发展的建议。然而,很少有方法表示从DW项目开发的早期阶段开始的DW概念模型中的安全措施。此外,这些安全措施不能在逻辑级别上自动表示,因此出现了用于此类转换的启发式设计指南。本文提出了一个基于模型驱动体系结构(MDA)的框架,用于开发安全数据仓库,该框架涵盖了设计的所有阶段(概念、逻辑和物理),并在所有阶段嵌入了安全措施。此外,模型之间的转换是通过使用查询/视图/转换(QVT)清晰而正式地建立起来的,从而获得从开发的早期阶段到最终实现的安全规则的可追溯性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework for the Development of Secure Data Warehouses based on MDA and QVT
Data warehouses (DWs) store historical and aggregated information, extracted from multiple heterogeneous, autonomous and distributed sources of information, therefore it is essential to specify security measures from early stages of DW design and to enforce them. Several proposals on DW development have arisen in the last couple of years. However, few approaches represent security measures in the DW conceptual model starting from early stages of development of a DW project. In addition, these security measures cannot be automatically represented at logical level, so heuristic design guides for such transformations have appeared. This paper presents a framework based on model driven architecture (MDA) for the development of secure data warehouses that covers all the phases of design (conceptual, logical and physical) and embeds security measures in all of them. Moreover, transformations between models are clearly and formally established by using query/view/transformation (QVT), to obtain consequently a traceability of the security rules from the early stages of development to the final implementation
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