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An efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios

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  • Jun-Feng Tian
  • Hao-Ning Wang

Abstract

With the widespread use of fog-to-cloud computing–based Internet of things devices, how to ensure the integrity of the data uploaded to the cloud has become one of the most important security issues. This article proposes an efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios, which can better meet performance and security requirements. The proposed scheme realizes data sharing under the condition of protecting privacy by encrypting sensitive information. Using the private key separation method, the private key is divided into two parts using identity information generation and random selection which are, respectively, held by the user and the fog center. Then, using the two-time signature method, the Internet of things and fog computing center use two parts of the private key to generate the original signature and final signature in two separate times. Since the fog computing center only has a part of the private key generated using the identity information, the security of the system will not be damaged due to the leakage of part of the private key held by the fog center, and the fog center significantly participates in the signature generation process, which significantly reduces the computation and communication overhead of the Internet of things device. Security analysis and performance evaluation show that the proposed scheme is safe and efficient.

Suggested Citation

  • Jun-Feng Tian & Hao-Ning Wang, 2020. "An efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    • Handle: RePEc:sae:intdis:v:16:y:2020:i:5:p:1550147720916623
    DOI: 10.1177/1550147720916623
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    References listed on IDEAS

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    1. Vipindev Adat & B. B. Gupta, 2018. "Security in Internet of Things: issues, challenges, taxonomy, and architecture," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(3), pages 423-441, March.
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