Abstract
With the advent of the information age and the explosive growth of data volume, more and more users outsource data storage to cloud storage system in order to reduce local storage costs. However, the following problem is whether the cloud storage system is safe and effective, which is mainly reflected in the storage efficiency of cloud servers and the integrity of data storage. Although many protocols have been proposed, these protocols use complex encryption operations, meet the requirements only in form, and are difficult to apply in practice. The Proof of Retrievability (POR) and Proof of Data Ownership (PDP) achieve data integrity auditing, while the Proof of Ownership (POW) maximizes storage efficiency by removing duplicate data from cloud storage systems. Combining these two technologies, a new redundancy-based secure public cloud storage audit is proposed based on distributed string equality check and homomorphic linear authenticator, which realizes integrity audit and storage redundancy reduction efficiently and securely, and reduces redundancy of the same file from different users to improve storage efficiency of cloud servers. By using pseudorandom function and Diffie-Hellman problem, the security of the protocol is realized. Finally, the effectiveness and scalability of the proposed scheme are verified by theoretical analysis.
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Acknowledgments
This work was supported by the National Cryptography Development Fund of China (grant no. MMJJ20170112), Natural Science Basic Research Plan in Shaanxi Province of China (grant no. 2018JM6028), National Natural Science Foundation of China (grant no. 61772550, U1636114, and 61572521), and National Key Research and Development Program of China (grant no. 2017YFB0802000). This work is also supported by Engineering University of PAP’s Funding for Scientific Research Innovation Team (grant no. KYTD201805).
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Liu, J., Wang, X.A., Zhao, K., Wang, H. (2020). Secure Public Cloud Storage Auditing with Deduplication: More Efficient and Secure. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_31
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DOI: https://doi.org/10.1007/978-3-030-39746-3_31
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