在云环境下的服务资源分布广泛、迁移频繁,资源之间的信任关系不易建立与维护。通过研究云服务资源信任验证方法,解决传统的可信计算远程验证方法存在性能瓶颈和计算复杂等问题。可采用环签名算法和基于属性的敏感信息保护机制,减小敏感信息泄露的风险和提高计算效率。 In the cloud environment, service resources are widely distributed, frequently migrated, and the trust relationships between resources are not easily established and maintained. By researching the cloud service resource trust verification method, this paper solves the problems of performance bottleneck and computational complexity of traditional trusted computing remote verification methods. Ring signature algorithms and attribute-based sensitive information protection mechanisms can be used to reduce the risk of leakage of sensitive information and improve computational efficiency.