Abstract
With the advent of Cloud Computing, Data Owners are motivated to outsource their Data to public cloud for great flexibility and economic savings. But only single keyword or Boolean keyword search is available. So it gives undifferentiated results and often consumes more data bandwidth and time. In this paper, we define and solve the problem of multi-keyword ranked search over encrypted cloud data while preserving strict system wise privacy and eliminating unnecessary network traffic by sending back only the most relevant data by using coordinate matching. Data Owner uploads their Data along with the Index file which comprises of a set of keywords to improve retrieval accuracy; the search result is ranked by the cloud server before relaying it to the data user’s request.
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