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A Novel Privacy-Preserving Data Integrity Verification by Partial Delegation

机译:一种新的部分授权保护隐私的数据完整性验证

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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:近来,由于低成本,先进技术和高效商业模式的特性,云存储受到广泛关注,并且已经得到了快速发展。但是,作为一种新的存储模型,在将数据迁移到云中时存在已知的安全性和隐私问题。因此,如何保证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发展方向。此外,数据完整性验证机制的主要目的是验证数据已完全存储在云服务器中,并且没有被恶意修改或删除。有时,用户由于某种原因无法执行数据完整性验证,因此需要将验证权限委派给第三方审核员。在本文中,我们提出:(1)提出了一种新的通过部分委托(PDIPD)验证数据完整性的方法,该方法将远程数据拥有检查委托给第三方审核员。与现有的数据完整性验证方案相比,新方案在相同的安全级别上具有较少的计算开销和灵活性。 (2)广泛的安全性分析表明,该方案在随机预言机中是可证明的安全性。估计基本密码的成本并分析实验表明,所提出的方案是高效且实用的。

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