About this ebook
Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. Specifically, the vector space model and the widely-used TF_IDF model are combined in the index construction and query generation. We construct a special tree-based index structure and propose a “Greedy Depth-first Search” algorithm to provide efficient multi-keyword ranked search. The secure kNN algorithm is utilized to encrypt the index and query vectors, and ensure accurate relevance score calculation between encrypted index and query vectors. In order to resist statistical attacks, phantom terms are added to the index vector for blinding search results. Due to the use of our special tree-based index structure, the proposed scheme can achieve sub-linear search time and deal with the deletion and insertion of documents flexibly. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.
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About the author
A Graduate in Technology, Dr.V.V.L.N. Sastry, holds M.B.A, LL.M, ACMA, M.Sc in Information Systems and Management from University of Roehampton, Ph.D in Banking, Ph.D in Computer Science, Ph. D in Financial Management, and Ph.D in Criminal Law and Public Policy from Walden University, U.S.A. Sastry, brings over 20 years of experience in the banking, investment banking, software industry and law. He is the author of more than 1000 published articles on varied subjects in the areas of IT, Banking, Finance, Economics and Law. He also has authored several books in the said fields. Rated among the top 1% in the world wide applied academics by www.academia.edu, his applied research contributions are well received across the world.
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