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

Abstract

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.

Data Warehouse Signature: High Performance Evaluation for Implementing Security Issues in Data Warehouses through a New Framework

“…Based on the DW security approaches of the two categories, this opens the gate for using digital signature as a new framework of DWS to ensure the three security issues CIA in DWs [11]. The DWS framework uses a middleware, VML that is an elastic network configuration for using any type of organizations.…”

“…From the data flow between DWServer and the client, there are two process models in the DWS framework. These models are DWSend model and DWReceive model joined in the VML middleware [11]. The VML middleware is supported by .Net Microsoft Framework as Alchemi Desktop Enterprise [12].…”