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Improved dynamic remote data auditing protocol for smart city security

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Abstract

Smart city has been greatly promoted by the adoption of information and communication technology. At the same time, data integrity becomes an urgent necessity in cloud storage scenario. When smart city meets cloud, if the data are damaged or corrupted, it will be a serious security loophole of smart city. Recently, numerous remote data auditing (RDA) protocols have been presented, among which Sookhak et al. put forward a dynamic remote data auditing protocol to deal with this major concern. In this paper, we found that this protocol has inherent security flaws, thus fails to achieve its original goal. Specifically, this protocol is vulnerable to two types of attacks, namely replace attack and replay attack. We show the details that how a malicious server can deceive data owners to believe that the data are maintained well by launching such attacks. Then, we describe an improved RDA protocol with provable security by utilizing algebraic signature to fix those security flaws. We employ the rank-based Merkle Hash Tree to achieve verifiable dynamic data operations for our RDA protocol. We also provide detailed security proof of the proposed RDA protocol.

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Acknowledgements

This work is supported by the Fundamental Research Funds for the Central Universities under Grants GK201702004, ZYGX2015J059, ZYGX2014J062, Guangxi Cooperative Innovation Center of cloud computing and Big Data (No. YD16504), and Guangxi Colleges and Universities Key Laboratory of cloud computing and complex systems (No.15201).

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Authors and Affiliations

  1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Li Zang, Yong Yu, Liang Xue & Yannan Li

  2. School of Computer Science, Shaanxi Normal University, Xi’an, 710062, China

    Yong Yu & Yujie Ding

  3. Guangxi Colleges and Universities Key Laboratory of Cloud Computing and Complex Systems, Guilin University of Electronic Technology, Guilin, 541004, China

    Yong Yu & Xiaoling Tao

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  1. Li Zang
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  2. Yong Yu
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  3. Liang Xue
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  4. Yannan Li
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  5. Yujie Ding
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  6. Xiaoling Tao
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Correspondence to Yong Yu.

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Zang, L., Yu, Y., Xue, L. et al. Improved dynamic remote data auditing protocol for smart city security. Pers Ubiquit Comput 21, 911–921 (2017). https://doi.org/10.1007/s00779-017-1052-y

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