AN ENHANCED SECURE KEYWORD SEARCH FRAMEWORK FOR CONFIDENTIAL DATA SHARING OVER CLOUD ENVIRONMENTS

Abstract

The price of computer hardware and programs has dropped significantly due to the increasing use of cloud infrastructure. Data encryption is a common practice prior to uploading files to the cloud in order to maintain data security. Encrypted data is more difficult to locate and transmit than unencrypted data. The onus is on the cloud provider to guarantee both the speed and security of search results and customer data. To circumvent these issues, we have developed CPAB-KSDS, an encryption approach for cloud data that utilizes ciphertext-policy attributes and incorporates keyword search and sharing capabilities. The proposed approach allows you to conduct both sending information based on characteristics and searching for terms based on characteristics simultaneously, which is an improvement over earlier systems that only allowed you to do one of the two. Additionally, if the PKG in the sharing area does not receive any interaction, the word associated with our theme may be modified. In this paper, we examine the CPAB-KSDS concept and the security model it stands for in greater detail. Also, we frequently propose a specific approach and demonstrate that it is secure against selected ciphertext and selected keyword attacks in the context of the random oracle model. When considering the features and functions of the proposed construction, it becomes clear that it is both practical and economical.