ChainGuards: Verification of Sensed Data using Permissioned Blockchain Technology

• URL: http://arxiv.org/abs/2603.20769v1
• Date: Sat, 21 Mar 2026 11:40:15 GMT
• Title: ChainGuards: Verification of Sensed Data using Permissioned Blockchain Technology
• Abstract summary: ChainGuards is a decentralized system that uses product-specific rules to verify data collected across the supply chain.<n>The implemented solution provides reliable verification of supply chain data with low performance overhead.
• Score: 3.1848820580333737
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

Related papers

• Proof of Authenticity of General IoT Information with Tamper-Evident Sensors and Blockchain [0.0]
  We propose a general method for secure sensor-data logging in which tamper-evident devices periodically sign readouts, link data using redundant hash chains, and submit cryptographic evidence to a blockchain-based service via Merkle trees.<n>Our approach enables reliable and cost-effective validation of sensor data across diverse IoT systems, including disaster response and other humanitarian applications, without relying on the integrity of intermediate systems.
  arXiv  Detail & Related papers  (2025-12-21T01:36:24Z)
• Data Certification Strategies for Blockchain-based Traceability Systems [7.459390431892085]
  We consider a typical system for blockchain-based traceability of a production process.<n>We propose and analyze some strategies for certifying the data of such a process on blockchain.
  arXiv  Detail & Related papers  (2025-11-06T14:37:38Z)
• Efficient Blockchain-based Steganography via Backcalculating Generative Adversarial Network [105.47203971578871]
  We propose a generic blockchain-based steganography framework (GBSF)<n>The sender generates the required fields such as amount and fees, where the additional covert data is embedded to enhance the channel capacity.<n>Based on GBSF, we design a reversible generative adversarial network (R-GAN)<n>We propose R-GAN with Counter-intuitive data preprocessing and Custom activation functions, namely CCR-GAN.
  arXiv  Detail & Related papers  (2025-06-19T04:43:41Z)
• EvoChain: a Recovery Approach for Permissioned Blockchain Applications [7.094737268994282]
  This article presents EvoChain, a chaincode framework extension introducing controlled mutability for data redaction and recovery under time-limited or specific conditions. We validated our approach using WineTracker, a Hyperledger Fabric-based supply chain application.
  arXiv  Detail & Related papers  (2024-11-25T23:02:17Z)
• SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
  This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
  arXiv  Detail & Related papers  (2024-08-30T07:15:43Z)
• Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models [49.898152180805454]
  This paper presents a novel framework leveraging Knowledge Graphs (KGs) and Large Language Models (LLMs) to enhance supply chain visibility. Our zero-shot, LLM-driven approach automates the extraction of supply chain information from diverse public sources. With high accuracy in NER and RE tasks, it provides an effective tool for understanding complex, multi-tiered supply networks.
  arXiv  Detail & Related papers  (2024-08-05T17:11:29Z)
• DIDChain: Advancing Supply Chain Data Management with Decentralized Identifiers and Blockchain [0.0]
  This research introduces DIDChain, a framework leveraging blockchain technology, Decentralized Identifiers, and the InterPlanetary File System. Central to DIDChain is the cheqd infrastructure, which enables digital tracing of asset events.
  arXiv  Detail & Related papers  (2024-06-17T09:25:05Z)
• Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
  Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
  arXiv  Detail & Related papers  (2024-03-28T07:08:26Z)
• Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study [73.87110604150315]
  Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology. In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
  arXiv  Detail & Related papers  (2024-01-28T10:46:17Z)
• Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach [47.00450933765504]
  We propose the use of explainable artificial intelligence for decentralised computing of estimated contributions to a metric of interest. This approach mitigates the need to convince supply chain actors to share data, as all computations occur in a decentralised manner. Results demonstrate the effectiveness of our approach in detecting the source of quality variations compared to a centralised approach.
  arXiv  Detail & Related papers  (2023-07-22T20:03:16Z)
• Towards Security Enhancement of Blockchain-based Supply Chain Management [0.0]
  The cybersecurity of modern systems has dramatically increased attention from both industrial and academia perspectives. This paper shed the light on the blockchain and specifically on a smart contract technology which been used to handle the process of creation, verification and checking data over the supply chain management process.
  arXiv  Detail & Related papers  (2022-09-11T18:52:11Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.