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IoT based user trajectory retrieval and discovery algorithm based on spatial-temporal correlation analysis

机译:基于IOT的用户轨迹检索与发现算法基于空间关联分析

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摘要

In the application of cloud storage, user file is not in local storage, therefore, file security, data confidentiality, and robustness are the key problems. First, aimed at the secure erasure code storage system of several key servers proposed by existing literatures, the problem that data robustness leads to defects in data recovery is not considered, and the end-to-end checking strategy threat model of cloud storage is established by using pseudo-random linear mapping; second, interface file block structure is prepared and integrity check project design is conducted by referring to relevant literature algorithm to realize the supplement of secure erasure code storage system algorithm function of multiple key servers and provide the analysis of calculation complexity of algorithm; at last, the experiment result shows that the proposed integrity check program can realize greater successful retrieval probability of data.
机译:在云存储的应用中,用户文件不在本地存储中,因此,文件安全性,数据机密性和鲁棒性是关键问题。首先,针对现有文献提出的几个关键服务器的安全擦除代码存储系统,不考虑数据鲁棒性导致数据恢复中的缺陷的问题,并且建立了云存储的端到端检查策略威胁模型通过使用伪随机线性映射;其次,准备界面文件块结构,并通过参考相关的文献算法来实现完全文献算法来实现多个关键服务器的安全擦除码存储系统算法功能的完整性检查项目设计,并提供算法计算复杂性的分析;最后,实验结果表明,所提出的完整性检查程序可以实现更高的数据成功检索概率。

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