Privacy-Preserving Lecture Sharing in Metaverse

Sida Huang*, Dongkun Hou, Zitian Peng, Yuji Dong, Jie Zhang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review


Metaverse has received significant attention as more individuals are interested in developing virtual environments and exploring digital worlds. The educational Metaverse has attracted particular interest, as it offers the potential for highly immersive and interactive learning experiences. Nevertheless, developing an educational metaverse faces several challenges, such as system robustness, latency, and data privacy and security. Blockchain technology provides a decentralized and secure approach to data management and storage. This paper provides a privacy-preserving lecture-sharing scheme for the educational Metaverse by using attribute-based encryption. Our approach ensures that only authorized students can access lecture materials while maintaining data privacy and security. Furthermore, we implemented a prototype of this platform on the Ethereum test network, illustrating the effectiveness of our solution in improving the efficiency of lecture sharing while guaranteeing data privacy.

Original languageEnglish
Title of host publication2023 3rd International Conference on Educational Technology, ICET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350302332
Publication statusPublished - 2023
Event3rd International Conference on Educational Technology, ICET 2023 - Xi'an, China
Duration: 15 Sept 202317 Sept 2023

Publication series

Name2023 3rd International Conference on Educational Technology, ICET 2023


Conference3rd International Conference on Educational Technology, ICET 2023


  • Access Control
  • Attribute-Based Encryption
  • Blockchain
  • Lecture Sharing
  • Metaverse
  • Privacy Preservation


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