TY - JOUR
T1 - Security and Privacy Challenges of AIGC in Metaverse
T2 - A Comprehensive Survey
AU - Zhang, Shoulong
AU - Li, Haomin
AU - Sun, Kaiwen
AU - Chen, Hejia
AU - Wang, Yan
AU - Li, Shuai
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2025/5/7
Y1 - 2025/5/7
N2 - 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.
AB - 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.
KW - Artificial intelligence generated content
KW - deep learning
KW - the Metaverse
UR - https://www.scopus.com/pages/publications/105009646729
U2 - 10.1145/3729419
DO - 10.1145/3729419
M3 - 文章
AN - SCOPUS:105009646729
SN - 0360-0300
VL - 57
JO - ACM Computing Surveys
JF - ACM Computing Surveys
IS - 10
M1 - 259
ER -