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A Novel Authorization Scheme for Multimedia Social Networks Under Cloud Storage Method by Using MA-CP-ABE

Author

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  • Cheng Li

    (School of Information Engineering, Henan University of Science and Technology, Luoyang, China)

  • Zhiyong Zhang

    (School of Information Engineering, Henan University of Science and Technology, Luoyang, China)

  • Lanfang Zhang

    (School of Information Engineering, Henan University of Science and Technology, Luoyang, China)

Abstract

This article finds that with the development of network technology and the change of a users' social habits, the existing multimedia social network, whether it is one-to-one authorization or one-to-many authorization, are having difficulty meeting the needs of users and cloud storage service. In order to solve this problem, this article proposes a new authorization scheme of multimedia community, based on attribute encryption. Use MA-CP-ABE solution to enhance system service efficiency. This program contributes to two aspects: (1) combining user trust with attribute-based authorizations, and (2) enhancing the flexibility and security of the solution. The scheme has been applied in the prototype system and achieved good results. Results prove that the program has good application value for cloud storage technology, IoT and many other fields.

Suggested Citation

  • Cheng Li & Zhiyong Zhang & Lanfang Zhang, 2018. "A Novel Authorization Scheme for Multimedia Social Networks Under Cloud Storage Method by Using MA-CP-ABE," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 8(3), pages 32-47, July.
    • Handle: RePEc:igg:jcac00:v:8:y:2018:i:3:p:32-47
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    Cited by:

    1. San Martín, Jesús & Drubi, Fátima & Rodríguez Pérez, Daniel, 2020. "Uncritical polarized groups: The impact of spreading fake news as fact in social networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 178(C), pages 192-206.
    2. Yaxuan Liu, 2021. "Developing the network social media in graphic design based on artificial neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 640-653, August.
    3. Liu, Zhi-Jiang & Chernov, Sergei & Mikhaylova, Anna V., 2021. "Trust management and benefits of vehicular social networking: An approach to verification and safety," Technological Forecasting and Social Change, Elsevier, vol. 166(C).

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