Journal of Applied Science and Engineering

Published by Tamkang University Press

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A Blockchain-Based Model for Copyright and Privacy Protection of Industrial New Media Content

 2026

 Volume 35

Si Wu

School of Journalism and Communications, Zhoukou Normal University, Zhoukou, 466000 Henan, China

Received: July 04, 2026
Accepted: September 29, 2026
Publication Date: September 11, 2026

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Operation Flow of the Proposed Model

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: BibTeX | http://dx.doi.org/10.6180/jase.202612_35.036

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Industrial new media content such as equipment operation videos, technical manuals, engineering drawings, and factory livestreams faces growing copyright and privacy challenges from complex infringement methods, high on-chain storage pressure, and the risk of exposing creators’ identities and proprietary technical information. This study proposes a blockchain-based copyright and privacy protection model that ensures credible copyright evidence while preserving privacy and scalability. Built on a Hyperledger Fabric consortium blockchain, the model follows a layered “content processing-on-chain registration – privacy authorization – off-chain storage – copyright verification” architecture, integrating multimodal copyright fingerprinting, dynamic pseudo-identity generation, attribute-based access control with trust/risk/frequency scoring, hybrid on-chain-off-chain storage, and distributed indexing. Large-scale simulation with millions of content items shows a registration latency of 490 ms, throughput of 2120 TPS, retrieval response time of 430 ms, storage overhead of 280 GB, verification accuracy of 94.5%, and an F1 score of 0.76 under 50% tampering. The privacy leakage rate is reduced to 9.4%, with an 84.6% unauthorized-access interception rate under severe attack. These results indicate improved copyright robustness, stronger privacy protection, and better scalability, supporting staged deployment on consortium-based industrial new media platforms without exposing original content or real identities on-chain.

Keywords: Industrial new media content; Blockchain; Copyright protection; Privacy protection; Multimodal copyright fingerprint; Dynamic pseudo-identity.

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