A Blockchain-Based Copyright Management Scheme for Open-Source Software and Hardware Designs
Open accessAbstract
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.
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Copyright registration and dispute resolution are centralized in most implementations.
“Copyright registration and dispute resolution are centralized in most implementations5.”
From DBpHash: a blockchain-based dual-band perceptual hashing framework for copyright protection of purely chromatic background images (2026) · cites this paper as [5]
Cites
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Modeling and Discovering Vulnerabilities with Code Property Graphs
Yamaguchi, F., Golde, N., Arp, D., et al. (2014) · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · doi:10.1109/sp.2014.44 · Cited by 809 · see citing works
GPLAG: detection of software plagiarism by program dependence graph analysis
Liu, C., Chen, C., Han, J., & Yu, P. S. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1150402.1150522 · Cited by 422 · see citing works
Towards a Big Data Curated Benchmark of Inter-project Code Clones
Svajlenko, J., Islam, J. F., Keivanloo, I., Roy, C. K., & Mia, M. M. (2014) · 2014 IEEE International Conference on Software Maintenance and Evolution · doi:10.1109/icsme.2014.77 · Cited by 339 · see citing works
Circuit Copyright Blockchain: Blockchain-Based Homomorphic Encryption for IP Circuit Protection
Liang, W., Zhang, D., Lei, X., Tang, M., Li, K., & Zomaya, A. Y. (2020) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2020.2993032 · Cited by 203 · see citing works
Oreo: detection of clones in the twilight zone
Saini, V., Farmahinifarahani, F., Lu, Y., Baldi, P., & Lopes, C. V. (2018) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/3236024.3236026 · Cited by 181 · see citing works
Functional code clone detection with syntax and semantics fusion learning
Fang, C., Liu, Z., Shi, Y., Huang, J., & Shi, Q. (2020) · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) · doi:10.1145/3395363.3397362 · Cited by 132 · see citing works
A blockchain-based code copyright management system
Jing, N., Liu, Q., & Sugumaran, V. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102518 · Cited by 129 · see citing works
Open hardware: From DIY trend to global transformation in access to laboratory equipment
Wenzel, T. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3001931 · Cited by 89 · see citing works
Open Hardware in Science: The Benefits of Open Electronics
Oellermann, M., Jolles, J. W., Ortiz, D., Seabra, R., Wenzel, T., Wilson, H., & Tanner, R. L. (2022) · Integrative and Comparative Biology · doi:10.1093/icb/icac043 · Cited by 66 · see citing works
A Blockchain-Based Traceable IP Copyright Protection Algorithm
Xiao, L., Huang, W., Xie, Y. C., et al. (2020) · IEEE Access · doi:10.1109/access.2020.2969990 · Cited by 58 · see citing works
CCSharp: An Efficient Three-Phase Code Clone Detector Using Modified PDGs
Wang, M., Wang, P., & Xu, Y. (2017) · Proceedings - Asia Pacific Software Engineering Conference/Proceedings · doi:10.1109/apsec.2017.16 · Cited by 52 · see citing works
Open-source tools and benchmarks for code-clone detection
Walker, A., Cerny, T., & Song, E. (2020) · ACM SIGAPP Applied Computing Review · doi:10.1145/3381307.3381310 · Cited by 50 · see citing works
How Open Source Machine Learning Software Shapes AI
Langenkamp, M., & Yue, D. N. (2022) · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · doi:10.1145/3514094.3534167 · Cited by 31 · see citing works
Machine Learning Method with Applications in Hardware Security of Post-Quantum Cryptography
Yi, H. (2023) · Journal of Grid Computing · doi:10.1007/s10723-023-09643-4 · Cited by 14 · see citing works
Pech, S. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3578311 · Cited by 12 · see citing works
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Nainar, M., Sankaranarayanan, S., & Veeramani, K. (2026) · Scientific Reports · doi:10.1038/s41598-026-54102-1
- Authors
- Jin, Y., & Ling, L.
- Affiliations
- Fudan University (CN)
- Venue
- Tsinghua Science and Technology
- Publisher
- Tsinghua University Press
- 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
- diamond
- doi.org
- Licence
- 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
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