An Efficient Query Method for Blockchain Transaction Retrieval
Aiming at the problems of low retrieval efficiency of blockchain query system and the risk of data tam-pering by introducing external databases,an efficient query method for blockchain retrieval is designed.The method combines the cuckoo filter with the Merkle tree to propose a CMerkle tree-based block structure for quickly confir-ming whether a transaction is in a block and obtaining specific transaction information in the block.Utilizing the char-acteristics of the Cuckoo Filter,which occupies less space and has faster computation speed,to provide better scal-ability and retrieval efficiency in a large number of account address retrieval projects,an efficient block localization structure is constructed using the B+tree.The experimental results show that the method can effectively improve the query efficiency under the guarantee of tampering-free blockchain data.
BlockchainInformation retrievalFilterQuery efficiencyMerkel tree
万方数据
维普
