【摘要】 针对区块链的电商物联网节点信息安全问题，对节点可信计算及隐私保护展开了研究及分析。设计了恶意节点检测信任方法(Block chain Trust Model, BTW),结合区块链网络频繁数据交换的可信计算、同态加密区块链技术，保护电商物联网节点信息的安全，获得节点信息安全总体模型。实验结果表明，BTW方法的CPU运行情况明显优于传统方法。相对于传统的区块链交易流程，研究提出的可信计算业务流程可以将业务流程缩短50%～75%,隐私节点保护的整体效果优于传统方法。融合恶意节点检测、可信计算、同态加密区块链的物联网节点信息安全保护模型，能够提供更好的安全保障。更多还原

【Abstract】 We have conducted research and analysis on the information security issues of e-commerce IoT nodes in blockchain, including trusted computing and privacy protection. A malicious node detection trust model(BTW) was designed, which combines trusted computing and homomorphic encryption blockchain technology for frequent data exchange in blockchain networks to protect the security of e-commerce IoT node information and obtain an overall model for node information security. The experimental results show that the CPU performance of the BTW method is significantly better than that of traditional methods. Compared to traditional blockchain transaction processes, the trusted computing business process proposed in the study can shorten the business process by 50%-75%, and the overall effect of privacy node protection is better than traditional methods. A IoT node information security protection model that integrates malicious node detection, trusted computing, and homomorphic encryption blockchain can provide better security guarantees.更多还原