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Multi-copy dynamic cloud data auditing model based on IMB tree
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DOI：10.1080/17517575.2020.1812004.png)
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Abstract
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In order to improve the efficiency and security of multi-copy dynamic cloud data audit, a multi-copy dynamic cloud data auditing model (MCAM) based on IMB tree is proposed. The IMB tree makes the audit process fast and efficient while maintaining security. Multi-copy compression transmission with masking rate is introduced to better reduce migration time. The theoretical analysis shows that MCAM can resist forgery attacks in the audit process and avoid information leakage. In addition, compared to the Merkle tree auditing solution, MCAM has improved data migration efficiency by about 17% and saved 24% of time consumption.
Keywords:
Cloud data
integrity
dynamic audit
imb tree
multiple copy
bilinear mapping
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