Privacy-Preserving for Proofs of Storage with Data Dynamics in Cloud Storage
Pages : 64-68
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Abstract
Cloud storage has been in across the board use nowadays, which reduces clients’ burden of local information storage. Meanwhile, the best approach to ensure the security and integrity of the outsourced information stored during a cloud storage server has also pulled in enormous attention from analysts. Proofs of storage (POS) is that the main technique introduced to manage this problem. Freely obvious POS allowing an outsider to check the information integrity for the information owner significantly improves the adaptability of cloud administration. However, most of existing freely irrefutable POS plans are incredibly slow to compute authentication labels for all information blocks thanks to many expensive group exponentiation operations, even much slower than ordinary network uploading velocity, and in this way it becomes the bottleneck of the arrangement period of the POS conspire. In this article, we propose a replacement variant formulation called “Delegatable Proofs of Storage (DPOS)”. Then, we construct a light-weight security preserving DPOS plot, which on one side is as efficient as private POS plans, and on the other side can support outsider auditor and can switch auditors whenever, on the brink of the functionalities of freely unquestionable POS plans. Compared to traditional openly obvious POS plans, we accelerate the label generation process by a minimum of a few hundred times, without sacrificing efficiency in the other angle. In addition, we extend our plan to support completely dynamic operations with high efficiency, reducing the computation of any information update to O(log n) and simultaneously only requiring constant communication costs. We prove that our plan is sound and protection preserving against auditor within the standard model. Experimental outcomes check the efficient performance of our plan.
Keywords: Proof of Storage, Cloud Computing, Third Party Auditor, Lightweight Homomorphic Authenticator, Data Dynamics