Abstract: With the advent of cloud computing, data authorisers are motivated to outsource their management systems of complex data from local sites to commercial public cloud for higher reliability and economic savings. To secure data privacy, sensitive data has to be encrypted or encoded before outsourcing, which is less in used traditional data utilization based on without coded text keyword search. Thus, to enable encrypted cloud data search service is of predominant importance. Considering the high number of data users and documents in cloud, it is essential for the search service to allow multi-keyword query and provide output similarity ranking to meet the effective data receiving is needed. In search for the encryption focusing on single keyword search or Boolean keyword search initially and then rarely differentiate the search results. In this paper, we define and solve the most intriguing problem of security-preserving multi-keyword ranked search over encrypted cloud data and establish a set of complicated privacy requirements to secure data utilization system to become a reality. Among multiple multi-keyword semantics, we choose the best principle according to “coordinate matching”, i.e., to capture the analogy between search query and data files, and after this use “inner product analogy” to quantitatively formalize such principle for analogical measurement. We first introduce a basic MRSE scheme using a secure inner product computational formation, and then specifically improve it to meet various privacy requirements in two levels determining the threat models. Thorough analysis of investigating privacy and efficiency guarantees of introduced schemes is given, and experiments performed on the real-world data collections further show introduced schemes indeed mainly to introduce low overhead on computation and communication purpose.
Keywords: Privacy Multi-Keyword Ranked, Encrypted Cloud Data.Title: Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data
Author: Pradeep kumar vishwakarma, Mritunjay Kumar chubey, Kerana Henrix D
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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