Digital image copyright protection method based on blockchain and zero trust mechanism
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Existing works that integrate perceptual hashing into blockchain-based copyright registration strengthen transaction integrity through encryption and smart contract validation, but the similarity layer remains largely unchanged.
“In these works, the transaction integrity is strengthened through encryption and smart contract validation. But the similarity layer itself remains largely unchanged.”
From DBpHash: a blockchain-based dual-band perceptual hashing framework for copyright protection of purely chromatic background images (2026) · cites this paper as [30]
Cites
A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus
Li, Y., Chen, C., Liu, N., Huang, H., Zheng, Z., & Yan, Q. (2021) · IEEE Network · doi:10.1109/mnet.011.2000263 · Cited by 645 · see citing works
Kumar, R., Tripathi, R., Marchang, N., Srivastava, G., Gadekallu, T. R., & Xiong, N. N. (2021) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2021.02.022 · Cited by 140 · see citing works
Decentralised Image Sharing and Copyright Protection using Blockchain and Perceptual Hashes
Mehta, R., Kapoor, N., Sourav, S., & Shorey, R. (2019) · 2019 11th International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets.2019.8711440 · Cited by 55 · see citing works
Flagged first, then by citations
- Authors
- Zhang, Q.-Y., Wu, G.-R., Yang, R., & Chen, J.-Y.
- Affiliations
- Lanzhou University of Technology (CN)
- Corresponding author
- Wu, Guo-rui
- Venue
- Multimedia Tools and Applications
- Published
- 2024-02-24
- Volume
- 83
- Issue
- 32
- Pages
- 77267-77302
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W4392131995
- Cited by
- 15
- References
- 3
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 3
- FWCI
- 5.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Multimedia Tools and Applications (publishedVersion)
- Funders
- National Natural Science Foundation of China (61862041)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Information Systems › Digital Rights Management and Security
- Keywords
- digital image copyright protection, blockchain, zero-trust architecture, ECDSA, elliptic curve cryptography, image hashing, smart contracts, IPFS, copyright infringement detection, double encryption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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