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A study on the data privacy and operation performance for cloud collaborative editing systems

机译:云协同编辑系统的数据隐私和操作性能研究

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摘要

This paper deals with the problem of collaboratively secure document editing in cloud environment. Using cloud document editing service, several users can create and edit a document collaboratively. However, as the cloud service provider is not trusted to guarantee the confidentiality of these documents, existing methods encrypt the documents before uploading them to the cloud. While these approaches can be inefficient for collaborative editing, we propose to organize the content of a document using a Red-Black tree and encrypt each block of data separately, so as to improve the performance of collaborative editing systems. Although creating and maintaining the Red-Black tree introduces extra cost, compared to the whole document encryption strategy the experimental results show that for text editing operations, such as insertion and removal, the use of Red-Black tree algorithm improves efficiency by 31.04% if 3DES encryption is applied and by 23.94% if applying AES encryption.
机译:本文讨论了云环境中的协作安全文档编辑问题。使用云文档编辑服务,多个用户可以协同创建和编辑文档。但是,由于不信任云服务提供商来保证这些文档的机密性,因此现有方法会在将文档上传到云之前对其进行加密。尽管这些方法对于协作编辑可能效率不高,但我们建议使用一棵红黑树来组织文档的内容并分别加密每个数据块,以提高协作编辑系统的性能。尽管创建和维护Red-Black树会增加成本,但与整个文档加密策略相比,实验结果表明,对于文本编辑操作(例如插入和删除),如果使用Red-Black树算法,则效率提高了31.04%。应用3DES加密,如果应用AES加密,则提高23.94%。

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