The Internet of Things (IoT) relies on resource-constrained devices deployed in unprotected environments. Different types of risks may be faced during data transmission in single-hop and multi-hop scenarios. Addressing these vulnerabilities is crucial. A systematic literature review of data provenance in IoT is presented, exploring existing techniques, practical implementations, security requirements, and performance metrics. Respective contributions and shortcomings are compared. A taxonomy related to the development of data provenance in IoT is proposed. Open issues are identified, and future research directions are presented, providing useful insights for the evolution of data provenance research in the context of the IoT.

翻译：物联网依赖于部署在无保护环境中的资源受限设备。在单跳和多跳场景下的数据传输过程中可能面临不同类型的风险。解决这些脆弱性至关重要。本文对物联网数据溯源进行了系统性文献综述，探讨了现有技术、实际实现、安全需求和性能指标。比较了各自的贡献与不足。提出了一个与物联网数据溯源发展相关的分类法。识别了开放性问题，并提出了未来的研究方向，为物联网背景下数据溯源研究的发展提供了有益的见解。