Abstract— Cloud computing has become a major computer trend which allows users to upload their data on a cloud server for flexible services on request. A great deal of outsource information is preserved and collected worldwide. in order to address those circumstances, new and updated security protocols and procedures must be enforced. Until confidential data is moved, it is encrypted on the server to make sure that it cannot be read by someone. Data that is encrypted in a secure cloud typically does not have data-specific and unambiguous information, or entity names. To deal with these problems, we recommend an Expanded Multi keyword Search and Top-k Retrieval algorithm. It provides good precision and high performance. Through calling for a set of query keywords that are part of the document's validity formula, the cloud customer is able to locate information from cloud storage that matches the document's keywords in the query. In addition, we increase the speed of the indexing process we use by extending it so that it produces the most important documents at the top of the records. We show by research that the scheme can bring high precision and efficiency to the process, but less data entry and faster retrieval.
Keywords— cloud computing, encrypted data, Multi-keyword search, Ranking, Top-k retrieval.
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DOI:
10.17148/IJARCCE.2021.10673
