• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A data corruption detection scheme based on ciphertexts in cloud environment

Vol. 15, No. 9, September 30, 2021
10.3837/tiis.2021.09.016, Download Paper (Free):

Abstract

With the advent of the data era, people pay much more attention to data corruption. Aiming at the problem that the majority of existing schemes do not support corruption detection of ciphertext data stored in cloud environment, this paper proposes a data corruption detection scheme based on ciphertexts in cloud environment (DCDC). The scheme is based on the anomaly detection method of Gaussian model. Combined with related statistics knowledge and cryptography knowledge, the encrypted detection index for data corruption and corruption detection threshold for each type of data are constructed in the scheme according to the data labels; moreover, the detection token for data corruption is generated for the data to be detected according to the data labels, and the corruption detection of ciphertext data in cloud storage is realized through corresponding tokens. Security analysis shows that the algorithms in the scheme are semantically secure. Efficiency analysis and simulation results reveal that the scheme shows low computational cost and good application prospect.


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Cite this article

[IEEE Style]
S. Guo, S. He, L. Su, X. Zhang, H. Geng and Y. Sun, "A data corruption detection scheme based on ciphertexts in cloud environment," KSII Transactions on Internet and Information Systems, vol. 15, no. 9, pp. 3384-3400, 2021. DOI: 10.3837/tiis.2021.09.016.

[ACM Style]
Sixu Guo, Shen He, Li Su, Xinyue Zhang, Huizheng Geng, and Yang Sun. 2021. A data corruption detection scheme based on ciphertexts in cloud environment. KSII Transactions on Internet and Information Systems, 15, 9, (2021), 3384-3400. DOI: 10.3837/tiis.2021.09.016.

[BibTeX Style]
@article{tiis:24939, title="A data corruption detection scheme based on ciphertexts in cloud environment", author="Sixu Guo and Shen He and Li Su and Xinyue Zhang and Huizheng Geng and Yang Sun and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2021.09.016}, volume={15}, number={9}, year="2021", month={September}, pages={3384-3400}}