Identity-Based Auditing for Shared Cloud Data With Efficient and Secure Sensitive Information Hiding

The advent of cloud computing arouses the flourish of data sharing, promoting the development of research, especially in the fields of data analysis, artificial intelligence, etc. In order to address sensitive information hiding, auditing shared data efficiently and malicious manager preventing, we propose an identity-based auditing scheme for shared cloud data with a secure mechanism to hide sensitive information. This scheme provides a solution that allows users to share plaintext with researchers and keeps sensitive information invisible to the cloud and researchers at the same time. Besides, a formal security analysis is given to prove the strong security of the proposed scheme. Performance evaluation and experimental results demonstrate that our scheme is significantly more efficient over the existing scheme due to our novel mechanism for sensitive information hiding and simplifying signature algorithm. Compared to the existing approach to audit the integrity of shared data with sensitive information hiding, our scheme has desirable features and advantages as follow. Firstly, previous work has failed to construct a secure scheme to prevent malicious manager. We fill this gap and guarantee the integrity and authenticity of shared data. Secondly, our scheme constructs a novel system model to support high concurrency and massive data in the real scenario.