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Data trusted traceability method based on Merkle mountain range
Wei LIU, Cong ZHANG, Wei SHE, Xuan SONG, Zhao TIAN
Journal of Computer Applications    2022, 42 (9): 2765-2771.   DOI: 10.11772/j.issn.1001-9081.2021081369
Abstract321)   HTML8)    PDF (2701KB)(137)       Save

Concerning the problems of the high cost of massive data storage and low efficiency of data traceability verification in the Internet of Things (IoT) system, a data trusted traceability method based on Merkel Mountain Range (MMR), named MMRBCV (Merkle Mountain Range BlockChain Verification), was proposed. Firstly, Inter-Planetary File System (IPFS) was used to realize the storage of the IoT data. Secondly, the consortium blockchains and private blockchains were adopted to design a double-blockchain structure to realize reliable recording of the data flow process. Finally, based on the MMR, a block structure was constructed to realize the rapid verification of lightweight IoT nodes in the process of data traceability. Experimental results show that MMRBCV reduces the amount of data downloaded during data tracing, and the data verification time is related to the structure of MMR. When MMR forms a perfect binary tree, the data verification time is short. When the block height is 200 000, MMRBCV’s maximum verification time is about 10 ms, which is about 72% shorter than that of Simplified Payment Verification (SPV) (about 36 ms), indicating that the proposed method improves the verification efficiency effectively.

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