批量可更新的可证明数据持有方案
首发时间:2013-03-27
摘要:随着数据爆炸和宽带网络的普及,云存储已经成为当今云计算领域的一个重要应用分支。然而,存储在云端的数据依然存在设备故障、黑客攻击、恶意篡改等威胁,云存储服务方需要通过一种有效的协议来向用户提供数据完整的证明。可证明数据持有(PDP) 提供了一个解决上述问题的模型,在该模型下,用户和服务方之间通过一种挑战-应答协议来验证数据的完整性。在此基础上,公开验证和动态更新这两大特性扩充了PDP模型的适用范围。然而,当前支持公开验证和动态更新特性的PDP方案仅能对单个数据块做更新验证,成为PDP方案的性能瓶颈。本文针对这一问题,设计了支持批量更新验证的2-3树结构和相应算法,实现了PDP方案的批量数据更新。仿真实验结果表明,批量更新方案与传统方案相比有明显的性能改善。
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A Batch-Updatable Dynamic Provable Data Possession Scheme
Abstract:With the development of Internet and data explosion, cloud storage has become an important part in cloud computing areas. Storage security in the cloud is one of the fundamental issues in cloud storage. Storage servers in the cloud, which suffer from system failure or malicious attacks, are not necessarily trusted. Hence it is important to ensure users the integrity of their data. The Provable Data Possession (PDP) model has been defined for ensuring the integrity of files on untrusted storages. The proof of data integrity is done by a challenge-response protocol between the user and the remote server. Public verifiability and data dynamics are two appealing features to extend the PDP model. However, all current dynamic PDP schemes only work for single block update, which is an bottle neck in efficiency. In this paper, a variant authentication 2-3 tree along with several algorithms is developed to enable batch block update. The simulation result clearly shows that the batched scheme achieves great performance improvement.
Keywords: Cloud Computing Provable Data Possession Date Dynamics Batch Update
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