Designing Secure Data Warehouses

View Sample PDF

Author(s): Rodolfo Villarroel (Universidad Católica del Maule, Chile), Eduardo Fernández-Medina (Universidad de Castilla-La Mancha, Spain), Juan Trujillo (Universidad de Alicante, Spain)and Mario Piattini (Universidad de Castilla-La Mancha, Spain)
Copyright: 2006
Pages: 6
Source title: Encyclopedia of Gender and Information Technology
Source Author(s)/Editor(s): Eileen M. Trauth (Pennsylvania State University, USA)
DOI: 10.4018/978-1-59140-815-4.ch090

Keywords: Gender & Technology / Human Aspects of Technology / Information Science Reference / Social Sciences & Humanities

Purchase

View Designing Secure Data Warehouses on the publisher's website for pricing and purchasing information.

Abstract

Organizations depend increasingly on information systems, which rely upon databases and data warehouses (DWs), which need increasingly more quality and security. Generally, we have to deal with sensitive information such as the diagnosis made on a patient or even personal beliefs or other sensitive data. Therefore, a final DW solution should consider the final users that can have access to certain specific information. Unfortunately, methodologies that incorporate security are based on an operational environment and not on an analytical one. Therefore, they do not include security into the multidimensional approaches to work with DWs. In this chapter, we present a comparison of six secure-systems design methodologies. Next, an extension of the UML that allows us to specify main security aspects in the multidimensional conceptual modeling is proposed, thereby allowing us to design secure DWs. Finally, we present how the conceptual model can be implemented with Oracle Label Security (OLS10g).

The IRMA Community

Research IRM

Designing Secure Data Warehouses

Purchase

Abstract

Related Content

IRMA Sponsors