Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices

Authors: Shahroz Tariq, Alsharif Abuadbba, Kristen Moore

Published: 2023-03-26 03:20:44+00:00

AI Summary

This paper analyzes the security implications of deepfakes within the metaverse, focusing on impersonation in gaming, online meetings, and virtual offices. It highlights the lack of physical authentication in the virtual world and discusses the resulting threats to confidentiality, integrity, and availability.

Abstract

The metaverse has gained significant attention from various industries due to its potential to create a fully immersive and interactive virtual world. However, the integration of deepfakes in the metaverse brings serious security implications, particularly with regard to impersonation. This paper examines the security implications of deepfakes in the metaverse, specifically in the context of gaming, online meetings, and virtual offices. The paper discusses how deepfakes can be used to impersonate in gaming scenarios, how online meetings in the metaverse open the door for impersonation, and how virtual offices in the metaverse lack physical authentication, making it easier for attackers to impersonate someone. The implications of these security concerns are discussed in relation to the confidentiality, integrity, and availability (CIA) triad. The paper further explores related issues such as the darkverse, and digital cloning, as well as regulatory and privacy concerns associated with addressing security threats in the virtual world.


Key findings
Deepfakes pose significant security risks in the metaverse due to the lack of physical authentication. Impersonation is a major concern across various applications like gaming, online meetings, and virtual offices. Mitigating these risks requires technological solutions and legal frameworks addressing both security and privacy.
Approach
The paper examines the security risks posed by deepfakes in three metaverse scenarios: gaming, online meetings, and virtual offices. It explores potential consequences like identity theft, fraud, and misinformation, and discusses the need for identity verification systems and deepfake detection tools.
Datasets
UNKNOWN
Model(s)
UNKNOWN
Author countries
Australia