Public Auditing Scheme for Shared Data in the Cloud Storage
Xueyan Liu, Xiaomei He, Tingting Lu, Yukun Luo · Journal of Physics Conference Series · 2019
Abstract Cloud storage is widely used by both individual users and organizational users due to its efficient and scalable data storage services. Because of the vulnerabilities of hardware/software, human error and malicious attacks, the audit of data integrity in cloud has become the focus of research. However, how to efficiently check the integrity of cloud data and protect the confidentiality of shared data and anonymity of user identity, is still a sharp problem. In this paper, we propose a privacy-preserving mechanism to reduce the security risks in existing schemes, which enables public auditing on shared cloud data. Specifically, identity-based signature is introduced in our scheme, which effectively prevents collusion attack from forgery of signatures. At the same time, the auditors cannot obtain the identity of the signer on shared data. In addition, multiple auditing tasks can be accomplished at one time rather than one by one in our scheme, thus, the efficiency of verification is greatly improved. The theoretical analyses shows that our scheme is correct, secure and privacy protection, and our experiments show that our scheme can efficiently achieve integrity audit of cloud data.