An Improved Data Warehouse Security System Using Hybrid Authentication Techniques
By Zeteh K. G., et al.
Data warehouses play a critical role in modern organizations by supporting data-driven decision-making and business intelligence. However, the sensitive and high-value nature of data stored in these systems makes them attractive targets for security breaches, unauthorized access, and insider threats. Conventional data warehouse security approaches, which largely rely on single-factor authentication mechanisms such as usernames and passwords, are increasingly inadequate in addressing contemporary cyber threats. This study focuses on the design and implementation of an improved data warehouse security system using hybrid authentication techniques. The proposed system integrates multiple authentication factors, including knowledge-based, possession-based, and cryptographic authentication mechanisms, to enhance identity verification and access control. By combining these complementary techniques, the hybrid authentication model provides layered security that significantly reduces vulnerabilities associated with single-factor authentication. The study adopts a system design and analytical approach to demonstrate how hybrid authentication can improve data confidentiality, integrity, and availability within data warehouse environments. The findings indicate that the improved hybrid authentication-based security system offers stronger protection against unauthorized access, impersonation attacks, and credential compromise, while also supporting accountability and secure data governance. The study concludes that hybrid authentication techniques constitute an effective and scalable solution for strengthening data warehouse security in modern enterprise systems. The implementation of such systems is therefore recommended for organizations seeking to enhance the reliability and trustworthiness of their data warehousing infrastructures.