Privacy-preserving dynamic auditing for regenerating code-based storage in cloud-fog-assisted IIoT

Abstract

A human-centered, sustainable development technological concept from industry 5.0 is rapidly sparking extensive discussions in the academic and professional communities. Massive data need to be outsourced to nearby fog nodes and remote cloud servers due to the constrained resource of terminals in industrial Internet of things (IIoT) in future industry 5.0. However, terminals are skeptical about the credibility of the outsourced data due to the loss of physical data possession. Existing data storage auditing schemes in cloud computing will be performed with high latency, which is not suitable for cloud-fog-assisted IIoT. To improve the computational efficiency and reduce the communication overhead, in this paper, a privacy-preserving dynamic auditing for regenerating code-based storage in cloud-fog-assisted IIoT is proposed. First, a generalized framework of exact reparation regenerating code is employed to encode the data file, which can improve the data storage security in cloud-fog-assisted IIoT. Then, the ZSS signature is used to generate the authentication tag for each encoded data segment. Moreover, a proper data structure is designed to store the encoded data and authenticators in storage servers based on the properties of exact reparation regenerating code, which can efficiently make full use of the fragmented storage space and significantly reduce the latency of data update. Security analysis shows that the proposed scheme provides the resistance of forgery attacks, replacing attacks, replaying attacks and ensures the data privacy. Performance analysis demonstrates that the proposed scheme can be performed with low computational cost and communication overhead that can be well used in cloud-fog-assisted IIoT.