Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing



A new model of computing, cloud computing provides abundant benefits including easy access, decreased costs, quick deployment and flexible resource management, etc. Despite the abundant benefits of cloud computing, for privacy concerns, individuals and enterprise users are reluctant to outsource their sensitive data, including emails, personal health records to the cloud under the single owner model. Privacy preserving Ranked Multi-keyword Search in a Multi-owner model(PRMSM). To enable cloud servers to perform secure search without knowing the actual data of both keywords and trapdoors. To rank the search results and preserve the privacy of relevance scores between keywords and files. We proposing to define and solve the problem of effective yet secure ranked keyword search over encrypted cloud data. Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to certain relevance criteria (e.g., keyword frequency). We first give a straight forward ideal construction of ranked keyword search under the state-of-the-art searchable symmetric encryption (SSE) security definition, and demonstrate its inefficiency. To achieve more practical performance, we then propose a definition for ranked searchable symmetric encryption, and give an efficient design by properly utilizing the existing cryptographic primitive, order-preserving symmetric encryption (OPSE).

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