Data Provenance to Maintain Data Integrity and Authenticity Is a Significant Challenge In the Internet of Things (Iot) Environments. Additionally, If the Provenance Metadata Itself Can Be Communicated In a Privacy Preserving Manner, It Expands the Usage of Iot Systems to Human Societal Domains Where Privacy Is of Paramount Importance. These Papers Present a Scheme to Combine Data Provenance and Privacy-Preserving Solutions. Proposed Scheme Merges Physical Unclonable Function (Puf) Technology With Non-Interactive Zero-Knowledge Proof to Provide Trustworthy and Dependable Iot Systems. In This Context, the Iot Device Can Anonymously Send Data to the Corresponding Server Associated With the Proof of Ownership. Proposed a Privacy-Preserving Data Provenance Protocol. This Protocol Was Synthesized With Altera Quartus. It Was Implemented on an Altera Cyclone Iv Fpga to Demonstrate Its Practicality and Feasibility.