云存储中，应用异地容灾备份的方式，可有效防止大规模停电和天灾发生情况下的数据丢失。目前对于异地容灾能力的保障大多基于云存储服务提供商的合同约束，还没有高效且安全的数据异地容灾能力验证机制。针对此问题，本文提出了一种对云端数据的异地容灾能力进行验证的方案———DPBDL（Data disaster-tolerant Proving Based on Different Location），其核心思想是使用时延与数据可恢复性验证结合的方法，对云端数据的异地容灾能力进行远程验证；并且，对其安全性和性能进行了理论分析与实际测试，分析与测试结果表明该方案能够达到可证明的安全强度，并能较好的判断云端数据的异地容灾能力。%Implementation of file fault tolerance is the key to preventing data loss in cloud,especially the off-site dis-aster recovery,which can prevent large-scale power outage and natural disaster occurs from losing data.Currently disaster re-covery guarantees for multi-cloud-based storage service provider agreement.To solve these problems,we propose a remote disaster recovery capability for cloud data to validate the program———DPBDL,whose theory is to use time delay and the proofs of retrievability to check the off-site data recovery of cloud data.Then,we analysis its security and performance theo-retically and practically,and the analysis result shows that its security and be able to accurately determine the cloud data off-site disaster recovery capabilities.
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