Abstract
With the rapid development of science and technology, enterprises will provide their customers with cloud data storage services. These massive amounts of data bring huge management costs to enterprises. Therefore, enterprises choose to store their data in professional cloud service providers and have third-party auditors check the integrity of cloud data to ensure security. Although the appearance of auditors reduces the enormous calculation pressure on enterprises, if the number of auditors is not limited, it will also bring an expensive management burden to enterprises. At the same time, in the process of performing data integrity auditing on behalf of the enterprise, auditors may be interested in some sensitive information of the enterprise’s customers (such as customer’s identity and specific content of customer data). Therefore, this paper proposes a remote data integrity auditing scheme based on designated verifiers. An essential feature of the scheme is that the auditor cannot obtain any customer’s identity information and data in the process of auditing; data integrity, the anonymity of the user’s identity, and data privacy are maintained in the process of auditing. Both theoretical analysis and experimental results show that our scheme is efficient and feasible.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference39 articles.
1. A Comparative Study of Privacy-Preserving Homomorphic encryption Techniques in Cloud Computing;Int. J. Cloud Appl. Comput. (IJCAC),2022
2. A secure and lightweight privacy-preserving data aggregation scheme for internet of vehicles;Peer-to-Peer Netw. Appl.,2020
3. Secure timestamp-based mutual authentication protocol for iot devices using rfid tags;Int. J. Semant. Web Inf. Syst. (IJSWIS),2020
4. Gaurav, A., Gupta, B., Peñalvo, F.J.G., Nedjah, N., and Psannis, K. (2022). Security and Privacy Preserving for IoT and 5G Networks, Springer.
5. One secure data integrity verification scheme for cloud storage;Future Gener. Comput. Syst.,2019