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Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain

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Quality, Reliability, Security and Robustness in Heterogeneous Systems (QShine 2021)

Abstract

Educational resources have a higher need for copyright protection to avoiding illegal redistribution. The transactions of educational multimedia data resources can effectively promote the development of educational informatization and solve the island situation of educational resources. In the process of traditional transactions for educational multimedia data, there is always a third parties, which may lead to dispute and distrust. And the copyright is not well protected. In this paper, we propose a fair and accountable trading scheme for educational multimedia data. The scheme is based on blockchain to achieve accountability and secure storage with IPFS. And we aim to construct a relatively strong copyright protection model through digital fingerprint and watermark technology. We implemented and evaluated the scheme in Ethereum. The results show that our scheme can achieve well copyright protection and preserve the users’ privacy. The overall overhead is reasonable.

The work is partially supported by the National Natural Science Foundation of China (No. 61672176), the Guangxi “Bagui Scholar” Teams for Innovation and Research Project, the Guangxi Talent Highland Project of Big Data Intelligence and Application, the Guangxi Science and Technology Plan Projects No. AD20159039, the Guangxi Young and Middle-aged Ability Improvement Project No. 2020KY02032, the Innovation Project of Guangxi Graduate Education No. YCSW2020110.

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Correspondence to Zhenkui Shi .

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Li, X., Peng, J., Shi, Z., Li, C. (2021). Achieving Fair and Accountable Data Trading Scheme for Educational Multimedia Data Based on Blockchain. In: Yuan, X., Bao, W., Yi, X., Tran, N.H. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Systems. QShine 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-91424-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-91424-0_7

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