TY - GEN
T1 - Blockchain-Based Secure Product Authenticity Verification for Industrial Networks
AU - Dobhal, V.
AU - Mittal, S.
AU - Wazid, M.
AU - Saha, S.
AU - Das, A. K.
AU - Pal, S.
AU - Rodrigues, J. J. P. C.
N1 - This is an accepted manuscript of an article published in: V. Dobhal et al., "Blockchain-Based Secure Product Authenticity Verification for Industrial Networks," 2026 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Brisbane, Australia, 2026, pp. 1-6, doi: 10.1109/ICBC67748.2026.11575497 . For the purposes of open access the author/s has/ve applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript (AAM) version arising from this submission.
PY - 2026/7/1
Y1 - 2026/7/1
N2 - The number of fake products is increasing day by day, which creates many serious problems. These fake items are unsafe for brand reputation as breaks trust and value also unsafe for consumers. Traditional methods like holograms, barcodes, etc., are widely used, but at certain levels, counterfeiters misuse them and copy them, which is not fully transparent. To address these issues, in this paper, we suggest using a blockchain-based system to verify whether a product is real or fake. Leveraging blockchain’s immutability and integrity, the product information is securely recorded using unique block hashes and Quick Response (QR) codes, making unauthorized tampering more difficult once the data is recorded. The consumers can confirm the originality of the product by simply scanning or uploading QR codes, which makes it tough for counterfeiters to clone the QR codes. A key feature of our approach is the integration of multi-scan detection. This system helps to detect unusual or suspicious scanning behavior and creates more trust. The system uses smart contracts to automate secure product registration and verification processes. To demonstrate feasibility, we present the details of the prototype, including database design, flowcharts, and user interface, illustrating its practical deployment.
AB - The number of fake products is increasing day by day, which creates many serious problems. These fake items are unsafe for brand reputation as breaks trust and value also unsafe for consumers. Traditional methods like holograms, barcodes, etc., are widely used, but at certain levels, counterfeiters misuse them and copy them, which is not fully transparent. To address these issues, in this paper, we suggest using a blockchain-based system to verify whether a product is real or fake. Leveraging blockchain’s immutability and integrity, the product information is securely recorded using unique block hashes and Quick Response (QR) codes, making unauthorized tampering more difficult once the data is recorded. The consumers can confirm the originality of the product by simply scanning or uploading QR codes, which makes it tough for counterfeiters to clone the QR codes. A key feature of our approach is the integration of multi-scan detection. This system helps to detect unusual or suspicious scanning behavior and creates more trust. The system uses smart contracts to automate secure product registration and verification processes. To demonstrate feasibility, we present the details of the prototype, including database design, flowcharts, and user interface, illustrating its practical deployment.
UR - https://ieeexplore.ieee.org/document/11575497
U2 - 10.1109/ICBC67748.2026.11575497
DO - 10.1109/ICBC67748.2026.11575497
M3 - Conference publication
T3 - Proceedings from IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
BT - 2026 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
PB - IEEE
ER -