Catch You if You Misbehave: Ranked Keyword Search Results Verification in Cloud Computing - 2018


With the arrival of Cloud Computing, a lot of and additional individuals tend to outsource their knowledge to the cloud. As a fundamental information utilization, secure keyword search over encrypted cloud data has attracted the interest of the many researchers recently. But, most of existing researches are based on a perfect assumption that the cloud server is “curious however honest”, where the search results are not verified. During this Project, we tend to contemplate a more difficult model, where the cloud server would in all probability behave dishonestly. Based mostly on this model, we have a tendency to explore the problem of result verification for the secure ranked keyword search. Totally different from previous knowledge verification schemes, we have a tendency to propose a completely unique deterrent-based theme. With our carefully devised verification knowledge, the cloud server cannot recognize which information owners, or how several data owners exchange anchor information which can be used for verifying the cloud server's misbehavior. With our systematically designed verification construction, the cloud server cannot recognize that information owners' information are embedded in the verification data buffer, or how several knowledge homeowners' verification data are literally used for verification. All the cloud server is aware of is that, once he behaves dishonestly, he would be discovered with a high probability, and punished seriously once discovered. Furthermore, we have a tendency to propose to optimize the price of parameters employed in the development of the secret verification information buffer. Finally, with thorough analysis and in depth experiments, we tend to ensure the efficacy and efficiency of our proposed schemes.

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