A Review of Approaches to Achieve Data Storage Correctness in Cloud Computing Using Trusted Third Party Auditor

H. Patel, D. Patel
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引用次数: 7

Abstract

Built on the fundamental concepts of grid, cluster & distributed computing and following the evolution from mainframe computers to client/server models, Cloud computing is a novel paradigm where computing resources are provisioned on demand. By outsourcing computing and storage requirements to Cloud, user enjoys numerous benefits, such as cost saving through pay for you use model, flexibility & scalability, to name a few. But, as the data stored on the cloud is not under the direct possession of the user, many new security challenges are to be addressed. Data integrity issue is one of them where client's data may be tampered by unauthorized entities, or sometimes by the cloud service provider, intentionally or accidentally. Proposed approaches for data integrity verification fall under two broad categories, first which makes use of Trusted Third Party Auditor (TTPA) and other which does not exercise TTPA. In this work, we make an exhaustive review of several recently proposed schemes which utilize TTPA.
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利用可信第三方审计实现云计算中数据存储正确性的方法综述
云计算建立在网格、集群和分布式计算的基本概念之上,并遵循从大型计算机到客户机/服务器模型的演变,是一种按需提供计算资源的新范式。通过将计算和存储需求外包给Cloud,用户可以享受许多好处,例如通过付费使用模式节省成本,灵活性和可扩展性等等。但是,由于存储在云上的数据不受用户的直接拥有,因此需要解决许多新的安全挑战。数据完整性问题是客户数据可能被未经授权的实体或云服务提供商有意或无意地篡改的问题之一。提出的数据完整性验证方法分为两大类,第一类是使用可信第三方审计员(TTPA),另一类是不使用TTPA。在这项工作中,我们对最近提出的几个利用TTPA的方案进行了详尽的审查。
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