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An Efficient Public Auditing Method with Periodic Verification for Data Integrity in Cloud

机译:一种有效的公共审计方法,具有云中数据完整性的定期验证

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With the huge development in cloud computing services, cloud storage becomes an important service for individuals and organization, with the capabilities of on-demand outsourcing application. After outsourcing the data, owner has no physical control over remotely present data. To verify the data integrity, several efficient cryptographic techniques related to provable data possession (PDP) were proposed to check the remote data integrity without downloading it from the cloud storage server. In this paper, with the knowledge of interactive PDP protocol, we propose an efficient public auditing method based on probabilistic queries and periodic verification to improve the performance of audit service. The method reduces the leakage of the data by public auditing and reduces the computational and communication cost of audit services by selecting the secured parameter. Our experimental result shows it incurs less communication cost.
机译:凭借云计算服务的巨大发展,云存储成为个人和组织的重要服务,具有按需外包应用程序的功能。外包数据后,所有者没有物理控制远程存在数据。为了验证数据完整性,提出了几种与可提供数据占有(PDP)相关的有效加密技术(PDP),以检查远程数据完整性,而无需从云存储服务器下载它。本文以互动PDP协议的了解,我们提出了一种基于概率查询的高效公共审计方法,并定期验证,以提高审计服务的性能。该方法通过公共审计减少数据泄漏,并通过选择安全参数来降低审计服务的计算和通信成本。我们的实验结果表明,它遭到较少的沟通成本。

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