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首页> 外文期刊>Journal of Engineering & Applied Sciences >Secure Ranked Keyword Search Algorithm for Encrypted Cloud Data using Double Indexing Technique
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Secure Ranked Keyword Search Algorithm for Encrypted Cloud Data using Double Indexing Technique

机译:使用双重索引技术来确定加密云数据的排名关键词搜索算法

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摘要

With the emergence of cloud computing, most of the data owners are outsourcing their corpus data from local sites to the commercial public cloud for great flexibility and economic savings. But tactful data has to be encrypted before outsourcing for preserving data privacy and also encrypted data gives an effective data utilization services which are a challenging task. However, traditional searchable encryption techniques use Boolean search to search data via. keywords but this technique not satisfied the effective data utilization for multi-user data need and also to retrieved massive data files from the cloud. This problem is solving by using ranked keyword search over the encrypted cloud data which improves system usability and file retrieval accuracy. Further to protect the score information one-to-many order-preserving mapping techniques has developed and explored the relevance score from information retrieval to build a secure searchable index. In this study, we used double indexing concept to improve retrieval speed of search request. Also, score dynamics concept is explored for to make an update in encrypted cloud files. In this study to improve the efficiency and security, we proposed a system where we will be adding a physical layer security component which will help the system to be more secure and less vulnerable to attacks.
机译:随着云计算的出现,大多数数据所有者正在将他们的语料库数据从本地站点外包给商业公共云,以获得极大的灵活性和经济储蓄。但是,在外包之前必须加密的播放数据,以保留数据隐私,并且加密数据提供了有效的数据利用服务,这是一个具有挑战性的任务。但是,传统可搜索的加密技术使用布尔搜索来搜索数据。关键字但该技术不满足多用户数据的有效数据利用率,并且还需要从云中检索大量数据文件。通过使用加密的云数据中使用排名关键字搜索来解决此问题,这提高了系统可用性和文件检索准确性。此外,为了保护得分信息,已经开发了一对多阶保留映射技术,并探索了从信息检索的相关性得分,以构建安全可搜索的索引。在这项研究中,我们使用了双重索引概念来提高搜索请求的检索速度。此外,探索了分数动态概念,以便在加密的云文件中进行更新。在这项研究中提高了效率和安全性,我们提出了一个系统,我们将添加一个物理层安全组件,这将有助于系统更安全,更容易受到攻击。

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