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Data Warehouse Signature: A Framework for Implementing Security Issues in Data Warehouses

机译:数据仓库签名:在数据仓库中实现安全问题的框架

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Today, with the increase in the number of business web application users, the data size is obviously getting quiet huge. This data is composed together from integrated heterogeneous data sources to form Data Warehouse (DW). DW consists of critical and sensitive data used in many intelligent business models for decision support processes. Therefore, retaining data security for DW systems is a very important issue for researchers; also, it is the first priority for organizations. The current paper presents a new framework for implementing security issues in DWs named Data Warehouse Signature (DWS). The DWS framework ensures the security issues, which are Confidentiality, Integrity and Availability (CIA). In fact, this approach solves the security problems such as network overhead and data changing that occurs during transmission on Client-Server basis. The DWS approach achieves high performance by using parallel computing through a middleware named View Manager Layer (VML). Finally, this paper also presents the elastic architecture of the DWS framework with a vast applicability in multiple DW organizations depending on its network infrastructure.
机译:如今,随着商业Web应用程序用户数量的增加,数据大小显然变得越来越安静。此数据由集成的异构数据源组成,形成数据仓库(DW)。 DW包含许多智能业务模型中用于决策支持流程的关键和敏感数据。因此,保持DW系统的数据安全性对于研究人员来说是一个非常重要的问题。同样,这也是组织的首要任务。本文介绍了一个用于在DW中实现安全性问题的新框架,称为数据仓库签名(DWS)。 DWS框架可确保安全性,即机密性,完整性和可用性(CIA)。实际上,这种方法解决了诸如基于客户端-服务器的传输期间发生的网络开销和数据更改之类的安全问题。 DWS方法通过通过名为View Manager Layer(VML)的中间件使用并行计算来实现高性能。最后,本文还介绍了DWS框架的弹性体系结构,具体取决于其网络基础结构在多个DW组织中的广泛应用。

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