IHFBF: A High-Performance Blockchain Framework for Improving Hyperledger Fabric Permissioned Chain

Permissioned blockchain frameworks typically employ efficient Byzantine fault-tolerant consensus protocols, making them appealing for the deployment of fast transaction applications among a large number of mutually distrustful participants. However, existing permissioned blockchain frameworks typically use sequential serial workflows to invoke the consensus protocol and execute transactions for the application, resulting in significantly lower performance for these applications when deployed in traditional systems. Therefore, a new permissioned blockchain framework is needed to improve transaction processing efficiency and enhance system performance for practical blockchain technology applications. We propose IHFBF (Improved Hyperledger Fabric Blockchain Framework), an improved permissioned blockchain framework that employs a predictive transaction sorting method by selecting a node within the consensus nodes to act as a sorter. This enables parallel execution of the consensus protocol and transactions, resulting in improved overall system performance. However, if the sorter is a malicious node, it can severely impact system performance. To address this, IHFBF uses a view-change method based on a deny-list approach, which effectively guides all participants and replaces or denies malicious participants. Compared to other three fast permissioned blockchain frameworks, IHFBF’s parallel workflow framework reduces latency and exhibits better throughput in the presence of malicious participants, resulting in efficient system performance.