Application Research Of Blockchain Based On Improved PBFT And Hybrid Index

At present,there are some problems in the supervision of hidden dangers in China’s coal mining industry,such as repeated supervision,isolated information island,data distortion and lack of trust mechanism.In view of the above problems,this paper designs a coal mine hidden danger data sharing method based on blockchain.With the help of the characteristics of blockchain technology,such as decentralization,tamper proof and traceability,this paper solves the security problem of coal mine hidden danger information storage,and realizes the function of data sharing among multiple subjects to ensure the authenticity,effective sharing and accurate accountability of data.The main work of this paper is as follows:(1)An improved algorithm of pbft consensus based on iterative evolution mechanism is proposed.The algorithm simplifies the consistency link in pbft consensus algorithm and reduces the waiting time of client requests.On this basis,a node scoring system is proposed to evaluate the enthusiasm of node consensus participation.By selecting a more robust and reliable node as the master node instead of the consensus node as the master node process in turn,the efficiency and flexibility of the algorithm are guaranteed.(2)Improve the data storage mode,aiming at the possible data loss or data distortion of coal mine safety information stored in the centralized database.Based on the combination of interstellar file system and attribute based searchable encryption algorithm cp-abe,this paper designs the previous coal mine hidden danger data sharing scheme to realize decentralized distributed storage and fine-grained access control of data.(3)A fast retrieval algorithm based on blockchain is proposed.The algorithm not only realizes the security protection of data privacy,but also solves the problem of low efficiency of blockchain data retrieval caused by the order of linked list.Through the keyword index,the fast positioning of the specified transaction is realized,the invalid query of the block is avoided,and the query efficiency of the node is improved by connecting the related data between the blocks.