Abstract
Cloud computing enables users with limited resources to accomplish complex computation. Meanwhile, the massive human physiological data generated by Wireless Body Area Network (WBAN) can be benefited by it through being stored in cloud servers. However, cloud storage of human physiological data is challenged by some issues, while one of them is soundness verification. Although local WBAN user is not powerful enough to compute the result on whole data repository, he may have concern on the correctness of the results from cloud which he pays for. To address this problem, this paper proposes a DMB+ tree data structure, and designs a query and verification algorithm for human physiological data in cloud computing environment based on DMB+ tree. By reducing the number of layers returned from the query tree, the algorithm reduces the height of the tree when verifying, thus improving the efficiency of query validation. The experimental results show that the performances in time and network traffic of DMB+ query verification are superior to Merkle tree and digital signature algorithm.
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Gao, Y., Yao, L., Yu, J. (2019). Research of Query Verification Algorithm on Body Sensing Data in Cloud Computing Environment. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_20
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DOI: https://doi.org/10.1007/978-3-030-30952-7_20
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