Secure and dynamic Multi-keyword Ranked Search Over Cloud Data
Keywords:
CSP-Cloud Service Providers, GDFS-Greedy Depth First Search, KNN-k-Nearest Neighbours algorithm state the efficiency of search scheme.Abstract
A Secure and Dynamic Multi -keyword Search the increasing popularity of cloud computing, more and more
data owners. They are motivated to outsource their data to cloud servers for great convenience and reduced cost in data
management. The sensitive data encrypted before outsourcing for privacy requirements. Which obsoletes data utilization
like keyword-based document retrieval. Here a secure multi-keyword ranked search scheme over encrypted cloud data is
presented. Which simultaneously supports dynamic update operations like that deletion and insertion of documents. The
vector space model used to TFIDF model are combined, for index construction and query generation. This construct a
special tree-based index structure and propose a “GDFS” algorithm is used to efficient multi-keyword search. The
secure KNN algorithm is utilized to encrypt the index and query vectors. Also ensure accurate relevance score
calculation between encrypted index and query vectors. To resist statistical attacks, phantom terms are added to the
index vector for blinding search results. The use of our special tree-based index structure, for achieve sub-linear search
time and deal with the deletion and insertion of documents with flexibility.
