面向云审计的轻量级隐私保护方案

Lightweight privacy protection scheme for cloud audit

在大数据爆发式增长背景下,云存储服务的发展为用户数据存储带来了极大的方便,按需服务特性使其备受青睐。但由于失去了对云服务器中数据的直接控制,不确定因素可能导致用户的数据损坏,这给云存储发展带来极大挑战。笔者提出轻量级计算和验证的数据审计方案,简化了用户在上传数据之前的标签计算操作,保证用户上传数据的安全性。此外,云服务器和审计者的计算任务也得到减轻,进一步降低计算开销。为保护用户数据隐私,借鉴了图像加密中的置乱加密,让用户使用随机函数对数据块的位置进行置乱,同时让审计者计算出数据块的真实位置,完成审计操作。实验结果表明,该方案有效节省了审计流程中用户和服务器、审计者3方的计算资源,提升流程效率。

In the context of the explosive growth of big data,the emergence of cloud storage services has significantly facilitated user data storage.The on-demand nature of cloud servers further contributes to their widespread popularity.However,this convenience comes at the expense of direct user control over data stored in the cloud,exposing it to potential damage from various uncertain factors.This brings great challenges to the advancement of cloud storage.To address these challenges,a data auditing scheme is proposed,emphasizing lightweight calculation and verification.This solution streamlines the user’s label calculation operation before uploading data, ensuring data security during the upload process. This approach concurrently reduces the calculation tasks of both the cloud server and the auditor, minimizing overall calculation overhead. To protect user data privacy, the scheme incorporates scrambling encryption inspired by image encryption. This enables users to use random functions to scramble the data block’s location, while still allowing the auditor to calculate the actual data block location for successful auditing. The results show that the proposed solution effectively saves computing resources for users, servers, and auditors during the audit process, thereby improving overall process efficiency.