Multi-Keyword Search in Encoded Cloud Data Using Homomorphic Encryption and Prim's Algorithm

This popularity of storing data on public encoded cloud servers and granting access to users is growing as a result of the rise of cloud computing. Vast number of researches under this encoded cloud storage encryption methodologies model have been motivated by privacy concerns related to wide search of multi-keywords searching in global cloud data storge in encoded form. The present invention relates to an encryption system, key generation center, and method for searching for encoded data using a sequence of words that can be used by users of any language. Most encoded cloud servers serve multiple users so that everyone can reap the benefits of cloud computing. Our research work proposes an enhanced design of hybrid homographic encryption based multi-keyword search in encoded cloud using prims algorithm (HEmksPA) that enable the cloud based servers to process secured searching without having the knowledge of real user data of both trapdoor and multi-keywords for this we had designed and constructed our novel and enhance multi-keyword search technique. This hybridization of homographic encryption technique with prims calculative scheme leads to an effective way for defeating limitation of previous techniques for multi-keywordsearching with reduced computation time for searching the multi-keywords in encoded cloud. Our obtained result shows that the multi-keywords searching efficiency of our proposed system is 96% when compared with existing techniques which has 94% efficiency described in related work section with enhanced security and confidentiality.