ChainGuards: Verification of Sensed Data using Permissioned Blockchain Technology

Computer Science > Cryptography and Security [Submitted on 21 Mar 2026] ChainGuards: Verification of Sensed Data using Permissioned Blockchain Technology Sara Aguincha, Emanuel Nunes, Samih Eisa, Miguel L. Pardal Sensor technologies have evolved to a point where it is now practical to monitor products along the supply chain. The collected data can be stored in a decentralized way using blockchain technology. However, ensuring the reliability of the sensed data is a critical challenge. In other words, we need to trust the data that we write to the blockchain. In this work, we propose ChainGuards, a decentralized system that uses product-specific rules to verify data collected across the supply chain, with particular focus on sensor-derived information, issuing warnings and triggering audits when anomalies are detected. We evaluated ChainGuards using data from a real cherry supply chain deployment. The result shows that the implemented solution provides reliable verification of supply chain data with low performance overhead, able to correctly detect data discrepancies and inconsistencies. Comments: 18 pages, 16 figures, 5 tables Subjects: Cryptography and Security (cs.CR); Computers and Society (cs.CY); Emerging Technologies (cs.ET) Cite as: arXiv:2603.20769 [cs.CR]   (or arXiv:2603.20769v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2603.20769 Focus to learn more Submission history From: Miguel Pardal [view email] [v1] Sat, 21 Mar 2026 11:40:15 UTC (3,916 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.CY cs.ET References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)