Integrity Verification for Multiple Data Copies in Cloud Storage Based on Spatiotemporal Chaos

作者:Long, Min*; Li, You; Peng, Fei
来源:International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2017, 27(4): 1750054.
DOI:10.1142/S0218127417500547

摘要

Aiming to strike for a balance between the security, efficiency and availability of the data verification in cloud storage, a novel integrity verification scheme based on spatiotemporal chaos is proposed for multiple data copies. Spatiotemporal chaos is implemented for node calculation of the binary tree, and the location of the data in the cloud is verified. Meanwhile, dynamic operation can be made to the data. Furthermore, blind information is used to prevent a third-party auditor (TPA) leakage of the users' data privacy in a public auditing process. Performance analysis and discussion indicate that it is secure and efficient, and it supports dynamic operation and the integrity verification of multiple copies of data. It has a great potential to be implemented in cloud storage services.

  • 单位
    hunan univ; 长沙理工大学