ML-Rbft consensus algorithm for aircraft engine maintenance data storage

Aircraft engine generates a lot of data during maintenance, and there are high security requirements for data storage. However, at present, the maintenance data storage of aircraft engines still faces the problem of easy loss and manipulation, it can be solved by blockchain technology. The Raft consensus algorithm commonly used in blockchain cannot meet the requirements of high efficiency and security for maintenance data storage, so the ML-Rbft consensus algorithm is proposed in this paper. By introducing multiple leaders nodes to replace single leader node, introducing node credit value model to realize safe election of leader nodes, and improving the consensus process. Experimental results show that ML-Rbft consensus algorithm can improve the efficiency of aircraft engine maintenance data storage and ensure its security.