期刊名称：International Journal of Communication and Computer Technologies
印刷版ISSN：2278-9723
出版年度：2013
卷号：1
期号：4
出版社：IJCCTS
摘要：Cloud computing is a rapidly growing technology highly preferred by small and medium business where resourcessuch as storage media, platform and applications shared over the Internet is used by multiple users in an organization. Thecommon pay-as-you-go subscription model of Cloud computing makes it a successful technology, on the other hand,prerequisite conditions to impose confidentiality on cloud data and scalability requirement increases the complexity ofcloud computing. Traditional algorithms provide either Boolean or ranked search result for the given single keyword doesnot retrieves accurate data on end-user’s interest in searching Cloud data with multiple related keywords during the sametransaction. In this paper, an efficient clustering technique is used to retrieve encrypted cloud data for multiple relatedkeywords. Inclusion of clustering technique to group related keywords together retrieves efficient and accurate cloud data.The proposed system ranks cloud data based on end user feedback on top of existing ranking algorithms which simplyrelies on keyword occurrence in a document increases the accuracy of data retrieved
