文章基本信息

标题：Loss Less and Privacy Preserved Data Retrieval in Cloud Environment using TRSE
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作者：T. Kavitha ; B. Narendra ; K.Thejaswi 等
期刊名称：International Journal of Wireless and Microwave Technologies(IJWMT)
印刷版ISSN：2076-1449
电子版ISSN：2076-9539
出版年度：2015
卷号：5
期号：6
页码：19-25
DOI：10.5815/ijwmt.2015.06.03
出版社：MECS Publisher
摘要：In the modern era of the computing world, the data producing and using it is becoming large and instant at various places. For availing the data at different locations for processing we need to store it in the global platform. Cloud environment provides a best and easy way for this. Cloud computing is becoming as the essential thing for high-quality data services. However there are some potential problems with respect to data security. Here encryption techniques can be used for providing security, but with restricted efficiency. In this paper we propose a new encryption mechanism for providing data security in cloud environment. We propose a two round searchable encryption which supports multi keyword retrieval. Here we adapted a vector space model for improving search accuracy; the elgamal encryption technique allows users to involve in the ranking, while the essential key part of encryption will be done at the source itself. The proposed improves the data security and reduces data leakage.
关键词：Cloud server;Data security;Structure strength;Resemblance matching;Vector model