Abstract
In order to persuade users of widely using cloud storage, one critical challenge that should be solved is finding way to determine whether data has been illegally modified on the cloud server or not. The topic has although been addressed in several works, there is lack of scheme to meet all the demand of supporting dynamic operations, public verification, less computation etc. This paper surveys the related results that has been done and proposes two alternative schemes, called DIV-I and DIV-II. Compared to S-PDP introduced by Ateniese et al., both DIV-I and DIV-II use less time to generate tags and verify. In addition, the proposed schemes fully support dynamic operations as well as public verification.
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Acknowledgments
This study was supported by National High-tech R&D Program of China (Grant NO. 2009AA012201), the Shanghai Leading Academic Discipline Project (Project No.J50103), and the Innovation Project of Shanghai University.
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Nguyen, T.C., Shen, W., Luo, Z., Lei, Z., Xu, W. (2015). Novel Data Integrity Verification Schemes in Cloud Storage. In: Lee, R. (eds) Computer and Information Science. Studies in Computational Intelligence, vol 566. Springer, Cham. https://doi.org/10.1007/978-3-319-10509-3_9
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DOI: https://doi.org/10.1007/978-3-319-10509-3_9
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