【摘要】 针对云计算环境中用户数据的完整性检测方案计算和检测效率较低且无法支持数据动态更新的问题,本文设计了一种自适应Trie树的云存储数据完整性审计方案.在自适应Trie树引入新的辅助节点和编码方式,有效地控制验证树的深度,能够支持高效的全动态数据更新,并有效降低系统的通信开销和计算开销,明显改善云存储数据完整性验证机制的性能,有效抑制重放攻击和Do S攻击.仿真实验结果表明,在动态数据完整性验证中该方案能够显著降低审计者的计算开销,高效实现云存储数据完整性验证,为云计算安全提供了新的方法.更多还原

【Abstract】 This paper investigates the data integrity in cloud storage and proposes a data integrity auditing scheme using self-adaptive Trie tree,which overcomes the problem of lowdetection efficiency and supports data dynamic updating. By introducing newsecondary nodes and encoding methods into the self-adaptive Trie tree,our proposed scheme effectively controls the depth of the tree,supports high efficient dynamic data updating and reduces the communication and computing overhead of system. Furthermore,it significantly improves the performance of auditing data integrity for the cloud storage data,and restrains replay attack and Do S attack. Simulation results verify that the proposed scheme of auditing the dynamic data integrity significantly reduces the computing overhead of auditors,efficiently achieves the data integrity verification for cloud storage and provides a newmechanism for cloud computing security.更多还原