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Secure Public Storage Auditing Protocol for Privacy-Preserving Fog-to-Cloud Computing

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Abstract

With the emergence of the Internet of things (IoT) and the rapid development of Mobile Network Devices, data collection and storage become more convenient and fast, especially for the edge computing and development in the cloud. However, the uncertain time-delay, lack of mobile support, location-sensitive and other problems, the efficiency and security of data storage are greatly tested in the process of data storage in cloud computing. In order to solve these problems, fog Computing came into being. In this paper, we use the Internet of things (IoT) equipment to cloud data transmission and security audit in Intelligent Transportation System (ITS), and use the techniques of Bilinear map, homomorphic verifier and CDH difficult problem hypothesis, etc. A secure storage and Public Audit Protocol for step-by-step Storage and signature verification is proposed to improve the storage efficiency and security audit of fog-to-cloud data. And through theoretical analysis and verification, the security and efficiency of the protocol are analyzed, which can achieve the desired effect.

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Acknowledgments

This work was supported by the National Cryptography Development Fund of China (grant no. MMJJ20170112), Natural Science Basic Research Plan in Shaanxi Province of China (grant no. 2018JM6028), National Natural Science Foundation of China (grant no. 61772550, U1636114, and 61572521), and National Key Research and Development Program of China (grant no. 2017YFB0802000). This work is also supported by Engineering University of PAP’s Funding for Scientific Research Innovation Team (grant no. KYTD201805).

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Correspondence to Xu An Wang .

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Zhao, K., Wang, X.A., Liu, Y., Liu, J., Zhao, S. (2020). Secure Public Storage Auditing Protocol for Privacy-Preserving Fog-to-Cloud Computing. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_13

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