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MetaWatch: Trends, Challenges, and Future of Network Intrusion Detection in the Metaverse
- Nkoro, Ebuka Chinaechetam;
- Njoku, Judith Nkechinyere;
- Nwakanma, Cosmas Ifeanyi;
- Lee, Jae Min;
- Kim, Dong-Seong
WEB OF SCIENCE
6SCOPUS
10초록
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
- 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
- 발행일
- 2025-08
- 유형
- Article
- 권
- 12
- 호
- 16
- 페이지
- 32469 ~ 32492
- 언어
- ENG
- 출판사
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행국가
- 미국
- 분량
- 24 페이지
- ISSN
- E 2327-4662
P 2372-2541