Publications

@inproceedings{basyoni_ai_2023,

title = {AI Generated Content in the Metaverse: Risks and Mitigation Strategies},

author = {L. Basyoni and J. Qadir},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179838633&doi=10.1109%2fISNCC58260.2023.10323860&partnerID=40&md5=8cd3943a54210ed3027f856436c687b8},

doi = {10.1109/ISNCC58260.2023.10323860},

isbn = {979-835033559-0 (ISBN)},

year  = {2023},

date = {2023-01-01},

booktitle = {Int. Symp. Networks, Comput. Commun., ISNCC},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The Metaverse has introduced a vast virtual environment where Artificial Intelligence Generated Content (AIGC) plays a crucial role in content creation. However, the increasing popularity of AIGC has raised concerns regarding its potential misuse and the need for effective detection methods to ensure content integrity. Security and privacy threats in the Metaverse have garnered significant attention, but the specific risks of AIGC in this context remain understudied. This paper aims to analyze the potential risks of AIGC in the Metaverse and explore mitigation techniques. By addressing these challenges, the paper contributes to a comprehensive understanding of AIGC's implications in the Metaverse. © 2023 IEEE.},

keywords = {AI-generated content, Content creation, Content integrity, Detection methods, Metaverse, Metaverses, Mitigation strategy, Privacy threats, Risk strategies, Security and privacy, Security threats},

pubstate = {published},

tppubtype = {inproceedings}

}