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Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage

机译:支持基于三元哈希树的安全云数据存储的完整性验证

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Cloud Computing enables the remote users to access data, services, and applications in on-demand from the shared pool of configurable computing resources, without the consideration of storage, hardware, and software management. On the other hand, it is not easy for cloud users to identify whether Cloud Service Provider's (CSP) tag along with the data security legal expectations. So, cloud users could not rely on CSP's in terms of trust. So, it is significant to build a secure and efficient data auditing framework for increasing and maintaining cloud users trust with CSP. Researchers suggested introducing Third Party Auditor (TPA) on behalf of cloud user for verifying the outsourced data integrity, which may reduce the computation overhead of cloud users. In this work, we proposed a novel integrity verification framework for securing cloud storage based on Ternary Hash Tree (THT) and Replica based Ternary Hash Tree (R-THT), which will be used by TPA to perform data auditing. Differing from existing work, the proposed framework performs Block-level, File-level and Replica-level auditing with tree block ordering, storage block ordering for verifying the data integrity and ensuring data availability in the cloud. We further extend our framework to support error localization with data correctness, dynamic updates with block update, insert, and delete operations in the cloud. The structure of THT and R-THT will reduce the computation cost and provide efficiency in data updates compared to the existing schemes. The security analysis of the proposed public auditing framework indicates the achievement of desired properties and performance has been evaluated with the detailed experiment set. The results show that the proposed secure cloud auditing framework is highly secure and efficient in storage, communication, and computation costs.
机译:云计算使远程用户能够在不考虑存储,硬件和软件管理的情况下从共享池中访问数据,服务和应用程序中的数据,服务和应用程序。另一方面,云用户并不容易识别云服务提供商(CSP)标签是否与数据安全合法期望一起。因此,云用户不依赖于信任方面的CSP。因此,构建一个安全有效的数据审核框架,用于增加和维护CSP的云用户信任。研究人员表示代表云用户推出第三方审计员(TPA),以验证外包数据完整性,这可能会降低云用户的计算开销。在这项工作中,我们提出了一种基于三元哈希树(THT)和基于副本的三元哈希树(R-THT)来保护云存储的新型完整性验证框架,这将由TPA使用TPA进行数据审核。与现有工作不同,所提出的框架执行具有树块排序的块级,文件级和副本审核,存储块排序,用于验证数据完整性并确保云中的数据可用性。我们进一步扩展了我们的框架,支持错误本地化,数据正确性,带有块更新,插入和删除操作的动态更新。与现有方案相比,THT和R-THT的结构将降低计算成本并提供数据更新中的效率。建议的公共审计框架的安全分析表明,通过详细的实验集进行了评估了所需的性能和性能。结果表明,建议的安全云审计框架在存储,通信和计算成本方面具有高度安全和高效。

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