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Security and Privacy Challenges of AIGC in Metaverse: A Comprehensive Survey

  • Shoulong Zhang
  • , Haomin Li
  • , Kaiwen Sun
  • , Hejia Chen
  • , Yan Wang
  • , Shuai Li*
  • *Corresponding author for this work
  • Zhongguancun Laboratory
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

The Metaverse is a hybrid environment that integrates both physical and virtual realms. The Metaverse has been accessible due to many facilitating technologies. One of the essential technologies that contribute to the Metaverse is AIGC. It is crucial in creating artificial assets and presenting natural interactions efficiently and effectively. Nevertheless, AIGC models encounter external and internal obstacles in security, privacy, and ethics during every level of their development. To conduct a thorough analysis and investigation of risks and threats, we propose a new taxonomy system that categorizes the issues based on three primary factors: the stage of threat exposure, the specific area of the concerns, and the origin of the threats. Furthermore, we present specific unresolved questions that prompt additional investigation into the risks posed by AIGC and the steps taken to counteract them in Metaverse art creation and interactive methodologies. This thorough evaluation offers a broad perspective on the security measures AIGC uses in the Metaverse.

Original languageEnglish
Article number259
JournalACM Computing Surveys
Volume57
Issue number10
DOIs
StatePublished - 7 May 2025

Keywords

  • Artificial intelligence generated content
  • deep learning
  • the Metaverse

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