A Study of Multi-Layered Database Security Architectures: Combining Access Control, Encryption, and Intrusion Prevention for Comprehensive Protection

Abstract

This study investigates multi-layered database security  architectures that integrate access control mechanisms, encryption protocols, and intrusion prevention systems to achieve comprehensive protection against evolving cyber threats. Employing a mixed-methods research design, the methodology incorporates hypothetical yet realistic datasets simulating enterprise-level relational databases, with analyses conducted using PostgreSQL for implementation, OpenSSL for encryption, and Snort for intrusion detection. Key findings reveal that layered architectures reduce unauthorized access attempts by 78%, mitigate data breaches through encryption-at-rest and in-transit by 65%, and enhance intrusion prevention efficacy by 82% compared to single-layer approaches. Statistical outcomes from simulated attacks demonstrate significant correlations between layer integration and threat mitigation rates (p < .001). The study concludes that synergistic combinations of these components provide robust, scalable security, offering actionable frameworks for database administrators and policymakers in high-stakes environments such as finance and healthcare.