Systematic study of database encryption methods for protecting sensitive financial information

Posted: May 29, 2022

• Ethan Gonzalez
• Ethan Torres
• Evelyn Allen

Abstract

The protection of sensitive financial information represents one of the most critical challenges in modern database management systems. Financial institutions handle vast quantities of confidential data including transaction records, customer identities, investment portfolios, and proprietary trading algorithms. Traditional database encryption approaches often fail to address the unique requirements of financial data, which demands both robust security and high-performance accessibility. Current literature predominantly focuses on either cryptographic strength or performance optimization in isolation, creating a significant research gap in holistic approaches that consider the multifaceted nature of financial data protection. This research addresses this gap through a systematic investigation of database encryption methodologies specifically designed for financial applications. We propose a novel framework that evaluates encryption techniques across multiple dimensions including security efficacy, computational overhead, regulatory compliance, and operational feasibility. Our approach differs from previous studies by considering the contextual nature of financial data, where different types of information require varying levels of protection and accessibility.