Secure distributed data integrity auditing with high efficiency in 5G-enabled software-defined edge computing

Abstract

In edge computing, the idle resources of the devices in the network can be virtualized into a platform that provides clients with storage resource and computing capability. Note that the service response of edge computing is faster than that of cloud computing. The service provision speed and the distributed resources utilization rate of edge computing will be further improved when integrated with 5 G and software definition paradigm in the design of the network system. However, the issues of data storage security and edge devices’ trustworthiness seriously restrict the development of edge computing. To enhance the security of the data storage in edge computing, a secure distributed data integrity auditing is proposed. The proposed auditing scheme in this paper can be used to guarantee the correctness and the completeness of the stored data in 5G-enabled software-defined edge computing. The auditing results of the distributed data in the proposed scheme can be used as an important basis for evaluating the trustworthiness of the edge devices. Due to the utilization of certificateless cryptography in the design of the proposed scheme, the computational cost of the terminal side can be highly reduced. Security analysis of the proposed scheme demonstrates that the properties of key exposure resistance and privacy-preserving are provided in data auditing. Simulation results of the time cost of the server side and the terminal side show that the proposed scheme is highly efficient compared to previous schemes.