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As sensitive information is centralized into the cloud, how to effectively search over encrypted data is becoming a research bottleneck of Cloud Storage Security. Based on the original solution of secure ranked keyword search over encrypted cloud data, we exploit the concept of evaluation for relevance of index. We
important role to help communicate cloud computing system components. Tree based data structures are also used as index to perform the search faster. Currently most of the cloud providers use the keyword based search. Multi-attribute search optimizes the search process and also performs the search faster. The paper proposes a
queried keywords appearing in the document which evaluate the relevance scoring of the document and to the search query to retrieve relevant information from cloud storage. Furthermore, we establish a new ranking procedure to retrieve highest ranked documents (i.e., most relevant) in the data set that brings considerable
orchestrates the user data into sets of keywords which are again encrypted. We further provide an unique measurement technique to identify unfaithful execution of user requested services by the cloud service provider. Our experiments demonstrate the practical applicability of such a sophisticated system. Though we logically
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.