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A Secure and Dynamic Multi Keyword Ranked Search Scheme over Encrypted Cloud Data

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A Secure and Dynamic Multi Keyword Ranked Search Scheme over Encrypted Cloud Data

Cloud computing has gained popularity among the world, where all the data owners are outsourcing their data to cloud servers in order to achieve great convenience and cost reduction in the data management.However, some of the sensitive data needs to 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.

The vector space model and the TF x IDF model are combined in the index construction and query generation.

A tree-based index structure is constructed and a “Greedy Depth-first Search” algorithm is used in order to provide efficient multi-keyword ranked search.

Secure kNN algorithm is used to encrypt the index and query vectors, and meanwhile 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.

By using the 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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