A Quantitative Analysis of Blockchain-based Data Breach Prevention

Abstract

This paper presents a quantitative analysis of Blockchain-based Data Breach Prevention systems, addressing the critical and escalating challenge of data security in centralized databases (Background). The persistent threat landscape, marked by increasingly sophisticated cyberattacks and significant financial losses resulting from data breaches, necessitates a fundamental shift in defensive architecture, moving toward decentralized, immutable solutions. The Object of this research is to rigorously evaluate the efficacy and operational overhead of integrating a permissioned blockchain (specifically, using a Hyperledger Fabric implementation) as a supplementary, tamper-proof audit and integrity layer for traditional SQL databases, compared against existing, purely centralized data breach detection and prevention mechanisms. We introduce a novel simulation framework to model various attack vectors, including unauthorized data modification and logging manipulation, across two distinct environments: a control group utilizing standard access controls and logging, and an experimental group augmented with the blockchain-based system (Method). Key performance indicators such as Mean Time to Detection (MTTD), Immutability Assurance Score (IAS), and transaction throughput overhead are measured, analyzed, and statistically compared. The Result demonstrates that while the blockchain integration introduces a negligible latency overhead (under 5% increase in transaction time), it achieves a 100% Immutability Assurance Score for audit logs and a 95% reduction in MTTD for data integrity violations compared to the control group. This high level of verifiable data integrity and swift detection capabilities fundamentally transforms the security posture. Therefore, the Conclusion is that blockchain technology serves as a highly effective, quantifiable defense mechanism that significantly mitigates the risk and impact of data breaches by ensuring cryptographically verifiable log and data integrity, establishing it as a promising paradigm for next-generation data security infrastructure.