云计算环境下基于Rabin CDC和MD5的安全重复数据删除机制

Himshai Kambo, Bharati Sinha
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引用次数: 11

摘要

分块是一种将整个文件或数据分割成独立块的技术。分块用于检测任何远程进程中的重复,例如重复数据删除和数据压缩。内容定义的分块是根据最初定义的切点将文件分割成可变长度块的过程。此外,由于涉及到字节移动,这将增加重复数据删除过程,因此更具挑战性。将内容定义的Chunking处理到基于云的Dedup App上,将存储在云中的加密数据进行处理,从而提高了效率。在本文中,我们提出了一种技术,该技术包括使用Rabin CDC来制作可变大小的块,并进一步处理该数据块为云上的加密数据。这适用于由不同用户在同一云存储(Hadoop分布式文件系统)上上传的相同数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure data deduplication mechanism based on Rabin CDC and MD5 in cloud computing environment
Chunking is a technique that splits a whole file or data into separate chunks. Chunking is applied to detect duplication in any remote processes such as data deduplication and data compression. Content defined chunking is a process of splitting the file into variable length chunks as per the cut points defined initially. Also these are more challenging as byte shifting is involved which results to be expected to increase the deduplication process. While processing out content defined Chunking onto cloud based Dedup App for the encrypted data stored in cloud results in improvement in efficiency. In this paper, we have proposed a technique which includes applying Rabin CDC for purpose of making variable size chunks and further processing that data chunks for encrypted data on cloud. This works on same data being uploaded by different users on same cloud storage (Hadoop Distributed File System).
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