Cloud Data Retrieval for Multi related keyword based on Clustering Technology

Abstract

Cloud computing is a rapidly growing technology highly preferred by small and medium business where resources such as storage media, platform and applications shared over the Internet is used by multiple users in an organization. The common 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 of cloud computing. Traditional algorithms provide either Boolean or ranked search result for the given single keyword does not retrieves accurate data on end-user‘s interest in searching Cloud data with multiple related keywords during the same transaction. In this paper, an efficient clustering technique is used to retrieve encrypted cloud data for multiple related keywords. 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 simply relies on keyword occurrence in a document increases the accuracy of data retrieved.