MetaWatch: Trends, Challenges, and Future of Network Intrusion Detection in the Metaverse

Citations

WEB OF SCIENCE

6
Citations

SCOPUS

10

초록

As the Metaverse progresses, its security measures must evolve to safeguard users from cyberattacks. To this end, Artificial Intelligence (AI)-powered Network Intrusion Detection Systems (NIDSs) have been implemented at the network layer to detect and respond to threats in real-time. Our survey-MetaWatch provides a comprehensive overview and analysis of relevant literature, focusing on studies that have explored NIDSs in the Metaverse. Unlike other surveys that have addressed Metaverse security issues more broadly, MetaWatch specifically provides a taxonomy of detection paradigms and defense mechanisms within Metaverse NIDS from 2021 to 2024. Additionally, MetaWatch identifies and discusses the key challenges and problems that impact the development of trustworthy, explainable, scalable, and robust Metaverse NIDS. Overall, the survey provides readers with a concise and informative summary of NIDS issues in the Metaverse and highlights open security problems worth exploring.

키워드

Metaverse; Security; Surveys; Privacy; Internet of Things; Taxonomy; Reviews; Network intrusion detection; Computer crime; Explainable AI; 5G/6G; artificial intelligence (AI); cybersecurity; explainable AI (XAI); Internet of Things (IoT); metaverse; network intrusion detection system (NIDS); SECURITY
제목
MetaWatch: Trends, Challenges, and Future of Network Intrusion Detection in the Metaverse
저자
Nkoro, Ebuka Chinaechetam; Njoku, Judith Nkechinyere; Nwakanma, Cosmas Ifeanyi; Lee, Jae Min; Kim, Dong-Seong
DOI
10.1109/JIOT.2025.3568477
발행일
2025-08
유형
Article
저널명
IEEE Internet of Things Journal
권
12
호
16
페이지
32469 ~ 32492

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