期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2347-2348
出版社：TechScience Publications
摘要：Cloud storage services have become commercially popular due to its vast advantages. To provide ubiquitous always-on access, a cloud service provider (CSP) maintains multiple replicas for each piece of data on geographically distributed servers. The main problem of using the replication technique in clouds is that it is very expensive to achieve strong consistency on a worldwide scale. In this paper, first present a novel consistency as a service (CaaS) model, which have a large data cloud and multiple small audit clouds. In the CaaS model, a data cloud is controlled and maintained by a CSP, and a cluster of users that constitute an audit cloud can verify whether the data cloud provides the promised level of consistency or not. Propose a two-level auditing architecture, which only requires a loosely integrate clock in the audit cloud. Then, design the algorithms to quantify the severity of violations with two metrics: the commonality of contravention, and the staleness of the value of a read. Finally, it devise a heuristic auditing strategy (HAS) to reveal as many violations as possible. Extensive experiments were performed using a combination of simulations and a real cloud deployment to validate HAS. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to check its integrity. Thus, enable public audit ability for cloud storage is of critical importance so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be carefree. To securely introduce an adequate TPA, the auditing process should bring in no new vulnerabilities towards user data privacy, and introduce no additional online hardship to user. In this paper, a secure cloud storage system supporting privacy-preserving public auditing will be proposed. For further extend of result to enable the TPA to perform audits for multiple users simultaneously and efficiently, considerable security and performance analysis show the proposed schemes are provably secure and highly efficient.
