Improvement of Hierarchical Byzantine Fault Tolerance Algorithm in RAFT Consensus Algorithm Election

Currently, blockchain technology is not only gaining momentum in the financial industry but also showing promising developments other sectors. Due to its suitability for various societal needs, an increasing number of non-financial institutions are expanding scope services beyond finance areas such as healthcare service management and enterprise governance. The core a system lies consensus, which plays crucial role performance security. PBFT algorithm widely used fault-tolerant consensus algorithm. However, it suffers from issues like high latency, low throughput, poor performance. In recent years, HBFT has addressed these concerns. This paper proposes improved tailored large enterprises with multiple independent functions. goal achieve more efficient data election strategies that both secure than HBFT. Leveraging enhanced ensures stability efficiency verification processes between organizations. Additionally, enables value creation application context.