KeySED:An Efficient Keyword based Search over Encrypted Data in Cloud Environment

Abstract

To maintain confidentiality of certain specific data, it is required to encrypt the data by using Ciphertext-Policy Attribute-Based Encryption (CPABE) mechanism, before its upload onto a untrusted cloud server. Moreover either to search an item in a given encrypted data or to carry out required computation is not feasible without compromising the confidentiality. To ease the process of search operation over outsourced encrypted data, it is delegated to the cloud server. The CSP performs the outsourced search only when the user is authorized as per the data owner. Further, the searched result returned by the cloud server should be verified by the user. To address the above issue we propose a fine grained attribute based keyword search model. The authenticity of the user is verified by the cloud server using CPABE technique. Further only authorized users can generate valid trapdoor messages which are used later to perform search operation by the cloud server. The proposed model takes comparatively less computation time in comparison to the considered related existing models. The empirical results and mathematical proof of the proposed model shows that it would be suitable for integration into resource constraint devices.