Implementation and Optimization of a Trusted Blockchain System for Salary Certification

Abstract

This paper presents an enhanced blockchain-based salary certification system that leverages FISCO BCOS, Node.js, and MySQL to address critical challenges in traditional salary management systems. The system introduces more substantial advancements in blockchain topology design, performance optimization, and security mechanisms. It features a hierarchical consortium blockchain architecture that balances decentralization with operational efficiency, ensuring robust security and transparency. The system employs advanced techniques such as dynamic validator set management, batch transaction processing, and parallel validation pipelines to achieve higher transaction throughput and reduced latency. Additionally, it integrates zero-knowledge proofs and a multi-active data center architecture for enhanced data protection and disaster recovery. Performance evaluation demonstrates significant improvements in transaction throughput and latency, with the system achieving high success rates in both open and query type tests. The modular design allows for flexible deployment across various organizational structures, providing a comprehensive solution for secure, transparent, and efficient salary data management.