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Blockchain Adoption in University Archives Data Management

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Intelligent Computing Methodologies (ICIC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13395))

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Abstract

Archives data management is an important link in the process of talent training in universities, and the informatization of archives data management has played a great role in promoting education. The existing university archives management generally adopts the centralized management mode, which leads to the low efficiency of archives service and insufficient protection measures for archives data. At the same time, the emergence of advanced technologies, such as quantum computers, has increased the probability of password cracking and information leakage, which has brought new challenges to archives information security. This paper analyzes the feasibility and application advantages of blockchain technology in university archives data management by summarizing the practical difficulties faced by university archives data management, and then a new model of university archive data management based on blockchain technology is proposed. On the basis of ensuring the efficient completion of the archives data management work, it can ensure the safety and reliability of the data in the process of archives data management and comprehensive sharing.

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Acknowledgment

This paper is sponsored by the National Natural Science Foundation of China (NSFC, Grant 61572447), Henan International Joint Laboratory of Blockchain and Audio/Video Security, Zhengzhou Key Laboratory of Blockchain and CyberSecurity.

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Correspondence to Cong Feng .

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Feng, C., Liu, S. (2022). Blockchain Adoption in University Archives Data Management. In: Huang, DS., Jo, KH., Jing, J., Premaratne, P., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2022. Lecture Notes in Computer Science(), vol 13395. Springer, Cham. https://doi.org/10.1007/978-3-031-13832-4_54

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  • DOI: https://doi.org/10.1007/978-3-031-13832-4_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13831-7

  • Online ISBN: 978-3-031-13832-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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