安全云存储与基于关键字的快速检索系统

Song Lu, Abdulruhman I Ahmed Abomakhelb
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引用次数: 0

摘要

近年来,云计算在数据存储领域越来越流行。越来越多的敏感信息存储到云端,由于保护数据隐私的重要性,为了保护敏感数据,在外包之前应该进行加密,这使得无效的数据利用成为一项非常具有挑战性的任务。虽然数据的隐私保护必须加密,但应该有一些方案允许用户通过关键字安全地搜索加密的数据,并有选择地检索适当的文件兴趣。这些技术只支持精确的加密搜索。本文主要研究如何在保证关键字隐私的前提下,对加密的云数据进行有效的关键字搜索。当用户的搜索输入与预定义的关键字完全匹配时,关键字搜索将返回匹配的文件,从而大大提高了系统的可用性。在我们的解决方案中,我们从文件中提取关键字并对关键字进行加密,然后将其添加到索引中。该系统不再将文件和可搜索索引存储在云系统上,而是将文件存储在云上,并将可搜索索引存储在专用服务器上。该方法大大降低了网络拥塞和表示开销,而且文件检索速度快,通过压缩文件减少了存储空间,通过加密技术和访问权限增强了安全性,通过准确的安全性分析表明,该方案在正确实现数据检索目标的同时,具有安全性和保密性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Cloud Storage and Quick Keyword Based Retrieval System
In recent years, Cloud Computing becomes more prevalent in data store domain. More and more sensitive to store information into the cloud, Due to the importance the protection of data privacy, to protect sensitive data, should be encrypted before outsourcing, which makes ineffective data utilization and a very challenging task. Although the protection of the privacy of the data has to be encrypted, There should be schemes allow a user to securely search over encrypted data through keywords and selectively retrieve the appropriate files interest. These techniques support only exact searchable over encryption. In this paper, find a solution to the problem of effective keyword search over encrypted cloud data while maintaining keyword privacy. Keyword search greatly enhances system usability by returning the matching files when users' searching inputs exactly match the predefined keywords. In our solution, we extract the keywords from the file and encrypted the keywords then added into the index. Instead of storing file and searchable index on a cloud system, the proposed system will store the file on cloud and store searchable index on a private server. Which greatly reduces network congestion and representation overheads, also retrieval fast for files, and reduces the storage by file compression With enhanced security using encryption techniques and permission to access the data, through accurate security analysis, we show that our proposed solution is secure and privacy-preserving, while correctly realizing the goal of retrieval data.
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