Journal Title : International Journal of Modern Trends in Engineering and Science


Author’s Name : Mrs J Keerthika | Sowmiya | Kalabenita | Abilashunnamed

Volume 04 Issue 04 2017

ISSN no :  2348-3121

Page no: 105-108

Abstract – In Cloud Computing data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, perceptive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plain text keyword search. Thus, enabling an encrypted cloud data search service is of vital importance. Considering the large number of data users and documents are available in the cloud, it is necessary to allow multiple keywords search based on the request and return documents in the order of their relevance to these keywords. Searchable encryption focus on keyword search and rarely sort the search results. In this project, for the first time, we define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data based on the ranking in cloud computing. We establish a set of strict privacy requirements for such a secure cloud data utilization system. Among various multi-keyword semantics, we choose the efficient similarity measure of “coordinate matching,” i.e., as many matches as possible, to capture the relevance of data documents to the search query. We first propose a basic idea for the multi-keyword ranked search based on secure inner product computation, and then give two significantly improved multi-keyword ranked search schemes to achieve various stringent privacy requirements in two different threat models. To improve search based on the multiple keyword of the data search service and we further extend these two schemes to support more search semantics.

Key Words – Cloud computing, ranked keyword search, multiple owners, privacy preserving, dynamic secret key


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