A Review on Enabling Synonym Based Fined-grained Multi-keyword Search Using Hierarchical Clustering

Miss.Pawar Pratima Prakash
<span title="2016-12-20">2016</span> <i title="Valley International"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vdctvzhdqvc4jpfrnfd2m544qa" style="color: black;">INTERNATIONAL JOURNAL OF EMERGING TRENDS IN SCIENCE AND TECHNOLOGY</a> </i> &nbsp;
Cloud is huge platform that provides various services its users such as, storage, management, maintain, searching, sorting of data etc. With this advantages data owner outsourced their data in cloud. Before outsourcing of data on cloud user encrypt it as per security concern. Other users can use cloud data by downloading and decrypting it from cloud. Before performing download and decryption operation on cloud data user have to perform searching for required data. Traditionally, plaintext
more &raquo; ... d search approach is used to perform searching. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple keywords in the search request and return documents in the order of their relevance to these keywords. In previous system, single keyword or Boolean keyword search is provided over an encrypted data. MRSE is the multi keyword ranked searching technique for efficient searching over an encrypted data. For efficient utilization of MRSE technique we referco-ordinate matching. In coordinate matching, multiple matches can possible by searching more relevant data documents to search query. As aggressive size increased in data documents searching phase reach to linear computational complexity. MRSE method can provide efficient search result than traditional search approach.
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