Presenting Author

Long Flory

Paper Type

Research-in-Progress Paper

Abstract

Business Intelligence (BI) applications become the fundamental strategies for competitiveness. Data warehouses (DWs) are crucial components of BI applications. Regulatory compliance and privacy protection require organizations protect sensitive data in DWs with adequate access control. It should be context-aware and uniformly-implementable to base tables, materialized views, and file objects. However, this need has been neglected in information systems (IS) literature. To fill this gap, this paper presents three parts of our ongoing research that provides a comprehensive solution for adequate access control. We discuss our System Architecture, lattice-labeling structure, and cost-based algorithm. Our solution is context-aware, uniformly-implementable, and fine-grained.

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Comprehensive Access Control for Data Warehouses

Business Intelligence (BI) applications become the fundamental strategies for competitiveness. Data warehouses (DWs) are crucial components of BI applications. Regulatory compliance and privacy protection require organizations protect sensitive data in DWs with adequate access control. It should be context-aware and uniformly-implementable to base tables, materialized views, and file objects. However, this need has been neglected in information systems (IS) literature. To fill this gap, this paper presents three parts of our ongoing research that provides a comprehensive solution for adequate access control. We discuss our System Architecture, lattice-labeling structure, and cost-based algorithm. Our solution is context-aware, uniformly-implementable, and fine-grained.