物联网大数据安全审计是当前物联网技术评估其大数据安全性的迫切需求，然而，审计的安全性与可用性矛盾问题使得审计在物联网大数据环境下遇到瓶颈。本项目拟提出一种云计算与区块链融合的物联网大数据安全审计模型，利用云计算的资源优势和区块链的可信优势分别解决好审计可用性和安全性问题，实现矛盾问题的合理权衡。具体包括：研究云链融合的物联网大数据多方审计模型，实现多方协同的可信审计与多方协作的高效审计；研究基于区块链的物联网大数据存储安全审计方法，实现保护隐私的轻量级标签生成以及云链协同的动态可信存储安全审计；研究基于云链融合的物联网大数据操作行为安全审计方法，实现云链融合的可靠日志交互以及云链协作的操作行为安全高效审计；研发车联网大数据安全审计验证平台，检验审计模型与方法的安全性与可用性。本项目的研究将为物联网大数据安全审计提供新的理论方法，提升物联网大数据的安全性。

The IoT big data security auditing is an urgent need of the current IoT technology to evaluate the security of its big data. However, the contradiction between auditing security and usability makes a bottleneck of the auditing occurring in the IoT big data environment. This project intends to propose an IoT big data security auditing model based on fusion of cloud computing and blockchain, using the advantages of cloud computing resources and the trustworthy advantages of blockchain to solve auditing usability and security issues, respectively, which makes the contradiction problem meet a reasonable trade-off. The project specifically includes that: analyzes a cloud-blockchain fusion based multi-party audit model of IoT big data, to achieve trustworthy auditing of multi-party collaboration and efficient auditing of multi-party cooperation; analyzes a blockchain based IoT big data storage security auditing method, to achieve privacy-preserving lightweight tag generation and cloud-blockchain collaboration dynamic trustworthy storage security auditing; analyzes a cloud-blockchain fusion based IoT big data operation behavior security auditing method, to achieve cloud-blockchain based reliable log interaction and cloud-blockchain cooperation based efficient operation behavior security auditing; develops a verification platform of Internet of Vehicles big data security auditing, to verify the security and usability of auditing model and methods. The research of this project will provide new theories and methods for the security auditing of IoT big data and improve the security of IoT big data.