ENHANCING CLOUD COMPUTING SECURITY AND PRIVACY THROUGH ATTRIBUTE-BASED DATA SHARING

Abstract

One convenient and cost-effective service offered by cloud computing is data sharing. Privacy regarding data contents also arises from the fact that the information is outsourced to certain cloud servers. Many techniques are employed to adorn access to operate on the shared data in order to protect sensitive information. Ciphertext-policy attribute-based encryption (CP-ABE) can add additional convenience and security to these methods. Conventional CP-ABE just addresses information confidentiality, however these days, user privacy protection is a major concern. With hidden access coverage, CP-ABE guarantees both record secrecy and the removal of user privacy from publication. Nonetheless, the majority of current methods are inefficient in terms of calculation costs and verbal interaction overhead. Furthermore, the majority of these studies don't address the problem of privacy leaks during the authority verification phase or authority verification itself. This work presents an environment-friendly authority verification technique with privacy-maintaining CP-ABE, to address the aforementioned issues. Moreover, its hidden keys take on a uniform size. In the meantime, the suggested plan meets the decisional linear assumption and selective safety under the decisional n-BDHE problem. The computational results validate the presented scheme's merits