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Encryption and Compression Storage Method of Educational Resources Based on Complex Network and Big Data Analysis

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e-Learning, e-Education, and Online Training (eLEOT 2020)

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Abstract

In order to improve the information retrieval and mining capability of educational resources, encryption, compression and storage processing are required. An encryption, compression and storage model of educational resources based on complex network and big data analysis is proposed. A dynamic characteristic information collection and information fuzzy clustering model of educational resource information is constructed, educational resource information sampling is carried out by adopting a wireless sensing matrix of a complex network, metadata structure characteristics of the educational resource information are extracted, a multi-dimensional characteristic space structure distributed fusion method is adopted, educational resource encryption compression and adaptive allocation of information coding are carried out, random coding keys and decoding keys of the educational resource information are extracted, random linear coding technology is adopted to realize encryption, compression and storage of the educational resource information, and dynamic compression capability of the educational resource data is improved. The simulation results show that this method has better feature compression capability and higher precision of encrypted transmission of educational resources information, and improves the precision and recall of educational resources information.

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Author information

Authors and Affiliations

  1. Pharmaceutical Engineering, Zhejiang University of Chinese Medicine, Zhuji, 311800, China

    Ji-shun Ma

  2. Department of Electronic Science and Technology, Huazhong University of Science and Technology, Zhuji, 311800, China

    Bin Zhao

  3. School of Economics, Zhejiang University, Zhoushan, 316000, China

    Hao Zhang

Authors
  1. Ji-shun Ma
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  2. Bin Zhao
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  3. Hao Zhang
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Corresponding author

Correspondence to Ji-shun Ma .

Editor information

Editors and Affiliations

  1. Human Normal University, Changsha, China

    Shuai Liu

  2. Harbin University, Harbin, China

    Guanglu Sun

  3. Hunan Normal University, Changsha, China

    Weina Fu

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ma, Js., Zhao, B., Zhang, H. (2020). Encryption and Compression Storage Method of Educational Resources Based on Complex Network and Big Data Analysis. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 340. Springer, Cham. https://doi.org/10.1007/978-3-030-63955-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-63955-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63954-9

  • Online ISBN: 978-3-030-63955-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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