Paper Details

A Secure and Dynamic Multi -keyword Search the increasing popularity of cloud computing, more and moredata owners. They are motivated to outsource their data to cloud servers for great convenience and reduced cost in datamanagement. The sensitive data encrypted before outsourcing for privacy requirements. Which obsoletes data utilizationlike keyword-based document retrieval. Here a secure multi-keyword ranked search scheme over encrypted cloud data ispresented. Which simultaneously supports dynamic update operations like that deletion and insertion of documents. Thevector space model used to TFIDF model are combined, for index construction and query generation. This construct aspecial tree-based index structure and propose a “GDFS” algorithm is used to efficient multi-keyword search. Thesecure KNN algorithm is utilized to encrypt the index and query vectors. Also ensure accurate relevance scorecalculation between encrypted index and query vectors. To resist statistical attacks, phantom terms are added to theindex vector for blinding search results. The use of our special tree-based index structure, for achieve sub-linear searchtime and deal with the deletion and insertion of documents with flexibility.

Katre Sharad, Hipparkar Pradip, Sagare Ravi, Hiwale Sumi, “Secure and dynamic Multi-keyword Ranked Search Over Cloud Data”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 5, pp. 632-337, May 2017.