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Design and Implementation of Remote Data Possession Checking Protocol using Homomorphic Hash Fuction for Cloud Data

机译:基于同态哈希函数的云数据远程数据拥有检查协议的设计与实现

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Cloud computing emerges as a novel computing paradigm subsequent to grid computing. As an important application in cloud computing, cloud storage offers user scalable, flexible, and highquality data storage and computation services. A growing number of data owners choose to outsource data files to the cloud. Cloud service provider tries to provide a promising service for data storage, which saves the users costs of investment and resource. Nonetheless, cloud storage also brings various security issues for the outsourced data. Because cloud storage servers are not fully trustworthy, data owners need dependable means to check the possession for their files outsourced to remote cloud servers. But many existing schemes have vulnerabilities in efficiency or data dynamics. In this system, we provide a new efficient RDPC protocol based on homomorphic hash function [1]. Our scheme employs a homomorphic hash function to verify the integrity for the files stored on remote server, and reduces the storage costs and computation costs of the data owner. In this system, we study the issue for integrity checking of data files outsourced to remote server and propose an efficient secure RDPC protocol with data dynamics. Using our new data structure, the data owner can perform insert, modify or delete operation on file blocks with high efficiency and check the possession of the data.
机译:云计算是网格计算之后出现的一种新颖的计算范例。作为云计算中的重要应用程序,云存储为用户提供了可扩展,灵活和高质量的数据存储和计算服务。越来越多的数据所有者选择将数据文件外包给云。云服务提供商试图为数据存储提供有前途的服务,从而节省用户的投资和资源成本。尽管如此,云存储还为外包数据带来了各种安全问题。由于云存储服务器并不完全值得信赖,因此数据所有者需要可靠的方法来检查其资产是否有外包给远程云服务器的文件。但是,许多现有方案在效率或数据动态方面都存在漏洞。在该系统中,我们提供了一种基于同态哈希函数的新型高效RDPC协议[1]。我们的方案使用同态哈希函数来验证存储在远程服务器上的文件的完整性,并降低数据所有者的存储成本和计算成本。在此系统中,我们研究了外包给远程服务器的数据文件的完整性检查的问题,并提出了一种具有数据动态性的有效的安全RDPC协议。使用我们的新数据结构,数据所有者可以高效地对文件块执行插入,修改或删除操作,并检查数据的所有权。

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