Enhancing Information Security In Data Warehouses Through Advanced Access Control Mechanisms

Abstract

This research paper explores the enhancement of information security in data warehouses through the implementation of advanced access control mechanisms. In today's data-driven landscape, data warehouses serve as pivotal repositories for organizations, housing vast amounts of sensitive information critical for decision-making processes. However, ensuring the security and integrity of this data is paramount, given the potential risks posed by unauthorized access, data breaches, and regulatory non-compliance. Through a comprehensive literature review and analysis, this paper investigates the strengths and limitations of traditional access control models such as Role-Based Access Control (RBAC) and Access Control Lists (ACLs), as well as advanced approaches including Attribute-Based Access Control (ABAC), encryption, and data masking/redaction. Practical implementation strategies and integration considerations for deploying these mechanisms within data warehouse architectures are discussed, along with insights into emerging trends and future directions in access control for data warehouses. By elucidating the significance of advanced access control mechanisms and offering actionable recommendations, this paper aims to assist organizations in fortifying their information security posture within data warehouse environments, thereby mitigating risks and ensuring the confidentiality, integrity, and availability of sensitive data.