中文摘要：

随着云计算技术的快速发展,越来越多的用户将个人数据存储到远端云服务器上。为确保用户的数据被正确地存储在云服务器上,远程数据的完整性检查受到了学术界和工业界的广泛关注。考虑到个人有限的计算资源和通信带宽,用户可以将远端数据的完整性审计任务委托给专业的代理。由于目前已有的代理远程数据完整性审计方案只能支持静态数据的存储,所以该文基于Merkle Hash树和双线性对技术,提出了一种能够支持动态操作的代理远端数据完整性审计方案。该方案不仅满足远端数据完整性审计协议所需的安全要求,而且支持针对远端数据执行插入、删除及追加等动态操作。安全性证明和性能分析,表明该方案是安全和高效的。

英文摘要：

With the rapid development of cloud computing technology, more users will store their data on a remote cloud server. To ensure that the user＇s data is correctly stored on the cloud server, remote data integrity checking has attracted widespread attention by academia and industry. By considering limited computing resources and communication bandwidth on the client side, users can delegate the auditing task of remote data integrity to a professional proxy. Currently, the proxy auditing scheme of remote data integrity can only support storing static data. But in this paper, we propose a proxy auditing scheme of remote data integrity for dynamics, which is based on Merkle Hash Tree and bilinear pairings technology. The proposed scheme can not only meet the security requirements of auditing protocol for the remote data, but also support the dynamic operations, such as inserting, deleting and appending. Security proof and performance analysis show that the proposed scheme is safe and effective.