Blockchain-Based Forensic Data Management System for Government Agencies Using Hyperledger Fabric Framework

Abstract

The escalation of cybersecurity threats presents significant challenges to national security infrastructure worldwide. Pakistan faces substantialvulnerabilities in protecting critical governmental data repositories, particularly those managed by the National Database and Registration Authority (NADRA), law enforcement agencies, and judicial institutions. These centralized systems remain susceptible to sophisticated cyberattacks, including malware infiltration, phishing schemes, and ransomware deployment. The absence of robust security frameworks has transformed data protection into a paramount national security concern. This research proposes implementing blockchain technology as a solution to enhance data security and integrity. The study examines the application of Hyperledger Fabric (HLF) as a private blockchain infrastructure for securing forensic data across government institutions. Through architectural design and implementation strategies, this work demonstrates how decentralized ledger technology can provide immutable, secure, and transparent data management while facilitating inter-agency collaboration. The proposed framework addresses critical vulnerabilitiesin existing centralized systems while maintaining data confidentiality and enabling efficient forensic data analysis for law enforcement operations.