RDPC:安全云存储与重复数据删除技术

R. Patil Rashmi, Yatin Gandhi, Vinaya Sarmalkar, Prajakta Pund, Vinit Khetani
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引用次数: 10

摘要

使用云数据,客户可以将数据从其计算机系统传输到云服务器。因此,用户将不会有任何维护负担,并获得高质量的数据存储服务。许多安全问题都与云存储有关。云服务提供商或存储服务器并不完全值得信赖。用户关心的是存储在云上的信息是否到位。本文基于同态哈希算法。此外,它还支持动态操作,如块级的插入、更新、删除和修改,对于数据动态,使用默克尔哈希树,这有助于找到每个动态操作的位置。第三方审计员检查用户数据的正确性,并给出存储在云服务器中的数据的准确性。减少了通信和计算开销。重复数据删除技术用于检查用户需要存储在云存储中的文件在云服务器上是否已经存在。该框架有效、安全地抵御了恶意服务器的替代攻击。
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RDPC: Secure Cloud Storage with Deduplication Technique
Using cloud data clients may transfer data from their computer systems to cloud servers. Hence, user will not have any burden of maintenance and also he gets high quality data storage services. Many security issues are concerned with cloud storage. Cloud service providers or storage servers are not completely trustworthy. The user is concerned about the information stored on cloud are in place or not turns. This paper is based on homomorphic hash algorithm. Further this supports dynamic operations such as insert, update, delete and modify at block level, for data dynamics Merkle Hash Tree is used which helps to find the location of each dynamic operation. Third party auditor checks the user's data for correctness and gives the accuracy of the data that is stored in cloud server. The communication and computation overhead are reduced. Deduplication technique is used to check whether the file that user need to store in cloud storage is already exist at cloud server or not. This framework is effective and secure against replace attack launch by malicious server.
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