A data corruption detection scheme based on ciphertexts in cloud environment

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 cipherte...

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Bibliographic Details
Published in:KSII transactions on Internet and information systems 2021-09, Vol.15 (9), p.3384-3400
Main Authors: Guo, Sixu, He, Shen, Su, Li, Zhang, Xinyue, Geng, Huizheng, Sun, Yang
Format: Article
Language:Korean
Subjects:
Ciphertexts
Cloud environment
Corruption detection
Cryptography
Data corruption
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Summary: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.
ISSN:1976-7277
1976-7277