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作 者:宋罗娜 路子逵 邓清 张强 王小娟[2] SONG Luona;LU Zikui;DENG Qing;ZHANG Qiang;WANG Xiaojuan(School of Economics and Management,Beijing Information Science and Technology University,Beijing 100192,China;School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;Beijing Xinwuhao Agricultural Technology Company Limited,Beijing 100093,China)
机构地区:[1]北京信息科技大学经济管理学院,北京100192 [2]北京邮电大学电子工程学院,北京100876 [3]北京新五好农业科技有限公司,北京100093
出 处:《北京邮电大学学报》2023年第4期27-31,39,共6页Journal of Beijing University of Posts and Telecommunications
基 金:国家重点研发计划项目(2020YFD1100202);国家自然科学基金项目(62071056)。
摘 要:针对土地测绘场景下数据难溯源、易篡改问题,提出了一种基于区块链的土地数据存储模型,以实现土地调查数据的链上存储以及链上链下数据关联检索。首先,设计了针对土地测绘数据的上链压缩算法;其次,提出了基于分布式存储与纠删码的分布式数字指纹生成方法,并对生成方式进行并发优化,以加速数字指纹生成与数据存储过程;最后,模型引入了链上链下数据关联,进一步保障数据安全。仿真实验结果表明,基于区块链的土地数据存储模型能够有效地节省存储空间,防止数据篡改,实现大规模点云数据高效上链,提高了数据安全性和可信性。Aiming at the problem that the data in the land surveying and mapping scene is difficult to trace and tamper with,a land data storage model based on the blockchain is proposed.The proposed model can realize the on-chain storage of land survey data and the association retrieval of on-chain and off-chain data.First,chain-uploading compression algorithm is designed for land surveying and mapping data.Then,a distributed digital fingerprint extraction method based on distributed slice storage and erasure code is proposed,and the extraction method is optimized concurrently to speed up the digital fingerprint extraction process and improve the chain-uploading efficiency.Finally,the on-chain and off-chain data association is introduced to further ensure data security.The simulation results show that the proposed model can save storage space effectively,prevent data tampering,achieve efficient upload of large-scale point cloud data,and improve data security and credibility.
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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