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A Novel Privacy-Preserving Data Integrity Verification by Partial Delegation

机译:部分委派的新型隐私保留数据完整性验证

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摘要

Recently, cloud storage is widely concerned due to the properties of low cost, advanced technology and efficient business model, and has been made a rapid development. However, as a new storage model, there are known security and privacy issues in migrating data to the cloud. Therefore, how to ensure the integrity and correctness of data storage is the main research direction and development of cloud storage technology. Moreover, the main purpose of the data integrity verification mechanism is to verify that the data is completely stored in the cloud server and is not modified maliciously or deleted. Sometimes the user can't perform data integrity verification for some reason, and the verification right need to be delegate to a third party auditor. In this paper, we proposed: (1) a new data integrity verification by partial delegation(PDIPD) is proposed, which delegates the remote data possession checking to a third party auditor. Compared with the existing data integrity verification scheme, the new scheme has less computational overhead and the flexibility at the same security level. (2) Extensive security analyses show this scheme is provable secure in random oracle. Estimating the cost of basic cryptographic and analyzing the experiment show, the proposed schemes are highly efficient and practical.
机译:最近,由于低成本,先进的技术和高效的商业模式的性能,云存储广泛涉及,并且已经迅速发展。但是,作为一个新的存储模型,在将数据迁移到云中,存在已知的安全性和隐私问题。因此,如何确保数据存储的完整性和正确性是云存储技术的主要研究方向和开发。此外,数据完整性验证机制的主要目的是验证数据是否完全存储在云服务器中,并且不会恶意地修改或删除。有时,用户无法出于某种原因对数据完整性验证进行执行,并且验证权需要将第三方审核员委托。在本文中,我们提出了:(1)提出了部分委托(PDIPD)的新数据完整性验证,该数据核查委员会将远程数据占有检查到第三方审计员。与现有数据完整性验证方案相比,新方案具有较少的计算开销和相同安全级别的灵活性。 (2)广泛的安全性分析显示,此方案在随机甲骨文中提供安全。估计基本加密和分析实验表演的成本,所提出的方案是高效实用的。

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