An Optimized and Secured Ranking Approach for Retrieving Cloud Data Using Keyword Search
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: Cloud computing is a versatile technology that emerged as a solution to reduce costs in organizations by providing on-demand high quality applications and services from a centralized pool of configurable computing resources. With the advantage of storage as a service data owners are motivated to outsource their valuable and sensitive data from local sites to commercial public cloud since it costs less, easily scalable and can be accessed from anywhere anytime. Sensitive data that moves into and across cloud infrastructures increases the risk of data loss or compliance violations. However to protect data privacy, sensitive cloud data have to be encrypted before outsourcing. Data encryption makes effective data utilization avery challenging task. In this paper we define an optimized and secured semantic based ranked keyword search over encrypted cloud data. Existing search schemes are not much efficient as they entirely depend on thesubmitted query keyword and did not consider the keyword semantics. Ranking approach in the proposed scheme not only consider the keyword semantics but also deals with examining the different forms of a queriedkeyword for retrieving the most matching files relevant to the user request. This type of ranked search enhances system usability by computing relevance score and ensures security guarantee by using an order preservingsymmetric encryption technique to protect those sensitive score information. Here user can retrieve more files from cloud server with less communication overhead.
Authors and Affiliations
Vineetha Viswan , Adarsh Sunil
Keywords
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