Cited by 1Blockchain Technology Applications and SecurityDigital Rights Management and SecurityLaw, AI, and Intellectual Property

A Blockchain-Based Copyright Management Scheme for Open-Source Software and Hardware Designs

Open access
Jin, Yuhang, Ling, Li·2025·Tsinghua Science and Technology

Abstract

Plagiarism in software code and hardware design threatens the open-source movement and the software and hardware industries. It is essential to differentiate between the unethical act of plagiarism and the legitimate use of open-source resources. Existing copyright protection measures, such as license design, inadequately address copyright ownership and protection issues. Furthermore, they fail to detect plagiarism methods for open-source hardware projects, such as circuit location modification. To address these challenges, this paper proposes a blockchain-based copyright management scheme, which introduces a general originality detection model based on community detection, extracting adjustable granularity digests from code and design files. These digests are stored on a peer-to-peer blockchain, enabling nodes to verify the originality via smart contracts. Additionally, the scheme improves the storage structure, protecting the rights of authors and contributors. Experimental results demonstrate the effectiveness and runtime efficiency of the proposed model in extracting digests for blockchain storage while maintaining verification accuracy. The scheme offers enhanced generality, practical performance, and suitability for distributed development and maintenance, with considerable implications for evidence gathering, fostering innovation and integrity.

Integrity signals

Registry

Crossref · 10.26599/tst.2023.9010112

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Authors
Jin, Y., & Ling, L.
Affiliations
Fudan University (CN)
Venue
Tsinghua Science and Technology
Published
2025-06
Volume
30
Issue
3
Pages
1157-1173
ISSN
1007-0214 (ISSN-L)
OpenAlex
W4400410988
Cited by
1
References
16
Citations by year
2025: 1
FWCI
0.38
Type
journal article
Language
en
Open access
Locations
  • Tsinghua Science & Technology (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Digital Rights Management and Security
  • Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
Keywords
blockchain, copyright management, open source software, open-source hardware, plagiarism detection, community detection, smart contracts, copyright ownership, circuit modification

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review