面向再生编码云存储的高效隐私保护审计方案

An Efficient Privacy-Preserving Data Auditing Scheme for Regenerating-Code-Based Cloud Storage

再生码技术在大数据分布式云存储中具有重要的应用价值,如何利用编码技术构造轻量型的隐私保护和审计机制仍然是基于再生码的分布式云存储系统尚未解决的问题.采用质询响应计算安全外包的策略和动态随机线性掩码技术,提出了一种适用于再生码云存储系统隐私保护数据审计方案,方案不仅能实时完成服务器质询响应数据的在线动态加密,而且在云存储节点和审计者之间构造了一种隐私计算协同外包的审计策略.理论分析和实验表明,该方案实现了完备的隐私保护机制和审计安全性,与现有工作相比,具有较快的实现效率.

The technology of regenerating codes is of important application value in big data distributed cloud storage.How to construct a mechanism of effective privacy-preservation and remote auditing by resorting to coding for a regenerating-code-based cloud storage system remains an unsolved issue.In this paper,by integrating a secure outsourcing strategy for challenge-response computation and a dynamic random linear mask technique,an efficient data auditing scheme is proposed with online privacy protection.The solution can not only achieve dynamic random real-time encryption to the response to the challenges from adversaries,but also construct an audit paradigm by which the privacy-computing can be cooperatively outsourced to the auditor.Theoretical analysis and experimental results show that this scheme achieves complete privacy protection and auditing security,and is more efficient in realization than the existing schemes.