Cybersecurity in the AI-Based Metaverse: A Survey
Кибербезопасность в метавселенной на основе ИИ: обзор
2022-12-18
SCID: 54.1/c7vtwfhd
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AI-based Metaverse cybersecuritybiometric user identificationcyber-situation managementdistributed denial-of-serviceimmersive technologies
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Abstract (AI)
The Metaverse is a multi-user virtual world that combines physical reality with digital virtual reality. The three basic technologies for building the Metaverse are immersive technologies, artificial intelligence, and blockchain. Companies are subsequently making significant investments into creating an artificially intelligent Metaverse, with the consequence that cybersecurity has become more crucial. As cybercrime increases exponentially, it is evident that a comprehensive study of Metaverse security based on artificial intelligence is lacking. A growing number of distributed denial-of-service attacks and theft of user identification information makes it necessary to conduct comprehensive and inclusive research in this field in order to identify the Metaverse’s vulnerabilities and weaknesses. This article provides a summary of existing research on AI-based Metaverse cybersecurity and discusses relevant security challenges. Based on the results, the issue of user identification plays a very important role in the presented works, for which biometric methods are the most commonly used. While the use of biometric data is considered the safest method, due to their uniqueness, they are also susceptible to misuse. A cyber-situation management system based on artificial intelligence should be able to analyze data of any volume with the help of algorithms. To prepare researchers who will pursue this topic in the future, this article provides a comprehensive summary of research on cybersecurity in the Metaverse based on artificial intelligence.
Key Findings
1
An AI-based cyber-situation management system should be capable of analyzing data at any scale using algorithms to address Metaverse threats.
2
Biometric data, while considered the safest due to uniqueness, are vulnerable to misuse and thus present significant security risks.
3
Distributed denial-of-service attacks and theft of user identification information are highlighted as escalating threats in the Metaverse.
4
The Metaverse integrates immersive technologies, artificial intelligence, and blockchain, increasing the importance of cybersecurity as investments grow.
5
There is a lack of comprehensive studies specifically addressing AI-based Metaverse security despite rising cybercrime targeting the Metaverse.
6
User identification is a central security issue in current research, with biometric methods being the most commonly used approach.
Research Object
AI-based Metaverse (multi-user virtual world combining physical reality with virtual reality enabled by artificial intelligence, immersive technologies, and blockchain)
Research Subject
Cybersecurity of the AI-based Metaverse, including vulnerabilities, threats (e.g., DDoS, identity/theft), biometric identification risks, and AI-driven cyber-situation management and defense mechanisms
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2022-12-18
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