SafetyNet: A Decentralized Police Complaint Management System for Bangladesh Using Blockchain Technology

Efficient crime reporting and management is imperative for law enforcement agencies, yet conventional systems pose challenges with data integrity and accessibility. Traditional reporting processes further contribute to delays, errors, and inefficiencies in the overall crime reporting workflow. As a result of these complexities, numerous victims and witnesses are reluctant to seek assistance from legal mechanisms. This study addresses these issues by introducing SafetyNet, a decentralized application (DApp) built on Hyperledger Fabric technology. The prevailing risks of data tampering and unauthorized access are mitigated through Hyperledger Fabric's Private Data Collection, ensuring secure and restricted information storage. SafetyNet is a multifaceted solution comprising user reporting, police, and judge components. Users can seamlessly report crimes, while police and judges access and manage complaints securely within the system. This decentralized approach revolutionizes traditional complaint management, fostering transparency and accountability in law enforcement processes. Hyperledger Fabric emerges as the optimal choice for SafetyNet due to its scalability, permission-based access controls, and confidential transaction processing. This study aims to assess SafetyNet's impact on public trust, compare its effectiveness with traditional systems, and provide valuable insights into blockchain-based complaint management best practices.