Abstract
With the advent of big data, users’ data is usually outsourced to the cloud. However, users will lose the absolute control over the data and its integrity is hard to be guaranteed. Currently, the most effective way to detect data corruption in the cloud is through data integrity verification that usually relies on third party. However, the third party is not always credible. This paper proposes a data integrity verification scheme based on blockchain and blind homomorphic tags to tackle the over-reliance on the third party auditor. Firstly, our approach is explored to weaken the centralization of the third party through the blockchain technology. Secondly, the smart contract is used to control the access of different auditors, and this allows users to change auditors freely. Lastly, blind homomorphic tags are proposed to avoid recomputing of tags when users change auditors. Based on the experiment results, our proposed scheme is more credible and has a higher recognition rate under the same computational overhead when compared with other mechanisms.
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This work was supported by the Changsha Science and Technology Commission (KH1902201).
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Huang, S., Xiao, J., Mao, Hl., Su, Mr., Ying, Hb., Tan, S. (2020). A Data Integrity Verification Scheme Based on Blockchain and Blind Homomorphic Tags. In: Zheng, Z., Dai, HN., Fu, X., Chen, B. (eds) Blockchain and Trustworthy Systems. BlockSys 2020. Communications in Computer and Information Science, vol 1267. Springer, Singapore. https://doi.org/10.1007/978-981-15-9213-3_35
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DOI: https://doi.org/10.1007/978-981-15-9213-3_35
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