Design of New Multi Keyword Ranked Search Scheme and Validation for Cloud Computing

Abstract

Cloud computing has been emerged as a revolution in the world of information technology. It provides a flexible and economic strategy for the sharing of resources management of data. Preservation of privacy and data security are the major concerns in the current scenario. To achieve the purpose of security and privacy number of schemes are analyzed and proposed to support keyword basis searching. In this paper we are going to design a Multi Keyword Ranked Search Scheme upon Cloud Data (MKRSCD), basically emphasizing on index and query. We can make expansion in the scheme with the help of already available secure inner product scheme and k nearest neighbor (kNN) technique. The secure inner product technique is not fit for our scheme MKRSCD, it is observed. The reason behind it is that the single randomness included is the scale factor for the generation of trapdoor, which does not provide optimum non-determinacy required by the unlinking of trapdoor as well as privacy of keyword requirement. Finally we are providing more advanced scheme MKRSCD-CM (Multi Keyword Ranked Search Scheme for Cloud Data in Known Ciphertext Model). To obtain the result, complete analysis of security and performance evaluation on experiments performed on the real world dataset which demonstrate that the scheme indeed accords with our proposed design goals.