物联网环境下基于云边协同的数据审计方案

Data audit scheme based on cloud-edge collaboration in IoT environment

针对数据完整性审计过程中,半可信的云服务提供商存在不诚实选取数据的行为,提出一种物联网环境下基于云边协同的高效数据审计方案。首先,为了适应物联网环境,采用端—边—云三层审计框架,将标签生成算法外包到边缘节点进行,提高响应速度,降低物联网设备端的计算成本。其次,设计了一种链表结构存储文件信息,以支持数据监测和实时更新。最后,根据用户对文件的访问频率将数据分为非风险数据和风险数据,并设计了基于用户行为的抽样方法,通过优先审计风险数据实现有效的针对性审计。安全性分析和实验表明,该方案能实现更安全、更高效的审计。

Aiming at the dishonest data selection behavior of semi-trusted cloud service providers in the process of data integrity audit,this paper proposed an efficient data audit scheme based on cloud collaboration in the Internet of Things(IoT)environment.First of all,to adapt to the IoT environment,this paper proposed an end-edge-cloud three-tier audit framework,and the tag generation algorithm is outsourced to the edge nodes,which improved the response speed and reduced the cost of IoT equipment.Secondly,this paper designed a linked list structure to store file information to support data monitoring and real-time updating.Finally,it divided the data into non-risk data and risk data according to the frequency of users’access to files,it designed a sampling method based on user behavior to achieve an effective targeted audit by giving priority to auditing risk data.Security analysis and experiments show that this scheme can achieve a safer and more efficient audit.