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.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tian, JF., Jing, X., Guo, RF. (2019). Lightweight Secure Cloud Auditing Scheme for Shared Data Supporting Identity Privacy and Traceability. In: Li, J., Liu, Z., Peng, H. (eds) Security and Privacy in New Computing Environments. SPNCE 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-21373-2_3
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DOI: https://doi.org/10.1007/978-3-030-21373-2_3
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