Enhancing of Efficient Fuzzy Keyword Search Over Encoded Cloud Multi-User Environment

Abstract

Cloud computing relies on sharing computing resources rather than having local servers or personal devices to handle sensitive information. With much recent advancement in cloud computing domain, sensitive information is being fused into the cloud. To guarantee security and protection to this information, data is to be encoded before being transferred onto the cloud server’s, subsequently making search a confusing task. Sometimes clients' search queries related information may not precisely coordinate with pre-set keywords of data because of grammatical errors. In this paper, fuzzy search enhances client search by recommending the user conceivable search keyword and rectifies typographical mix-ups. We have used enhanced nearness positioning for search queries in the pre-defined keywords, to discover significant results, which gives more number of matching results in less time. Our experiments on real time datasets shows that using this approach improves the efficiency by 89% in searching  queries  and  also reduces the time complexity.