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Optimized Public Auditing and Data Dynamics for Data Storage Security in Cloud Computing

机译:针对云计算中数据存储安全性的优化公共审计和数据动态

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Cloud Computing is a promising service platform to access computing resources on demand over the Internet. It moves the data and applications to the large data centres where data and services can be managed in a much better manner than locally. However, its use puts forth a lot of challenging issues related to security, privacy and reliability of the overall system. In this paper, we focus on the problem of data-integrity verification(by a third party auditor) for the client's data residing on a cloud storage server(CSS). Here, we optimize an existing third party auditing protocol and make it resistant to replace, replay and forge attacks launched by malicious insiders at cloud storage server. We also propose a protocol to perform efficient block-level and fine-grained dynamic-data update operations on data stored on cloud using a modified Chameleon Authentication Tree. Extensive security and performance analysis shows that our protocols are efficient and can resist aforementioned attacks.
机译:云计算是一个有前途的服务平台,可以通过Internet按需访问计算资源。它将数据和应用程序移至大型数据中心,与本地相比,可以更好地管理数据和服务。但是,其使用提出了许多与整个系统的安全性,隐私性和可靠性有关的挑战性问题。在本文中,我们重点研究由第三方审计员对云存储服务器(CSS)上的客户数据进行数据完整性验证的问题。在这里,我们优化了现有的第三方审核协议,并使其能够抵御恶意存储人员在云存储服务器上发起的替换,重播和伪造攻击。我们还提出了一种协议,可以使用修改后的Chameleon身份验证树对存储在云上的数据执行高效的块级和细粒度的动态数据更新操作。广泛的安全性和性能分析表明,我们的协议有效并且可以抵抗上述攻击。

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