  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.
