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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 10, 2025.
Abstract: With the growing emphasis on lifelong education and the rapid expansion of open education platforms, the secure and efficient management and sharing of lifelong learning data have become critical challenges. To address these issues, this paper proposes a Privacy-Preserving Educational Data Sharing (PPEDS) scheme based on blockchain technology. The PPEDS scheme employs attribute-based encryption with hidden attributes to achieve privacy-preserving and fine-grained access control. In addition, it incorporates multi-keyword searchable encryption to enable efficient encrypted data retrieval and combines private and consortium blockchains to ensure data authenticity and integrity across multiple educational institutions. The security analysis demonstrates that the scheme resists potential attacks and ensures confidentiality, access control, and search privacy under a semi-trusted model. Furthermore, performance evaluations conducted on real-world educational datasets show that the proposed scheme achieves efficient encryption, search, and decryption operations, with low computational overhead even in large-scale deployments. Overall, the PPEDS scheme provides a secure, scalable, and practical solution for privacy-preserving data sharing in lifelong education systems.
Jiaqi Guo, Zhuoran Wang and Ningning Liu. “Privacy-Preserving Education Data Sharing Scheme Based on Consortium Blockchain”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.10 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0161093
@article{Guo2025,
title = {Privacy-Preserving Education Data Sharing Scheme Based on Consortium Blockchain},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0161093},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0161093},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {10},
author = {Jiaqi Guo and Zhuoran Wang and Ningning Liu}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.