Security and Privacy in New Computing Environments. Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13–14, 2019, Proceedings

Research Article

Lightweight Secure Cloud Auditing Scheme for Shared Data Supporting Identity Privacy and Traceability

  • @INPROCEEDINGS{10.1007/978-3-030-21373-2_3,
        author={Jun-Feng Tian and Xuan Jing and Rui-Fang Guo},
        title={Lightweight Secure Cloud Auditing Scheme for Shared Data Supporting Identity Privacy and Traceability},
        proceedings={Security and Privacy in New Computing Environments. Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13--14, 2019, Proceedings},
        proceedings_a={SPNCE},
        year={2019},
        month={6},
        keywords={Shared data Dynamic groups Lightweight calculation Agent security},
        doi={10.1007/978-3-030-21373-2_3}
    }
    
  • Jun-Feng Tian
    Xuan Jing
    Rui-Fang Guo
    Year: 2019
    Lightweight Secure Cloud Auditing Scheme for Shared Data Supporting Identity Privacy and Traceability
    SPNCE
    Springer
    DOI: 10.1007/978-3-030-21373-2_3
Jun-Feng Tian, Xuan Jing,*, Rui-Fang Guo
    *Contact email: abidble@gmail.com

    Abstract

    Cloud platform provides users with shared data storage services. To ensure shared data integrity, it is necessary to validate the data effectively. The audit scheme that supports the group dynamic operations conducts the integrity verification of the shared data, but this approach results in complex calculations for group members. The audit scheme of the designated agent implements the lightweight calculation of the group members, but it ignores the security risks between the group members and the agents. By introducing Hashgraph technology and designing a Third Party Medium (TPM) management strategy, a lightweight secure cloud auditing scheme for shared data supporting identity privacy and traceability (LSSA) is proposed, which realizes the security management of dynamic groups and the lightweight calculations for group members. Meanwhile, a virtual TPM pool is constructed by combining TCP sliding window technology and interconnected functions to improve agent security. Experiments on real data sets show that the theoretical analysis and experimental results are consistent, thereby reflecting the feasibility and efficiency of the scheme.