Securing the Metaverse: AI-Driven Solutions for Cyber Security, Privacy, and User Trust

Premanand Narasimhan and N.Kala

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024, vol. 10, issue 6, 1890-1918

Abstract: The Metaverse, an evolving digital landscape where users engage in immersive experiences, presents new opportunities for cybercriminals, leading to a rise in various cybercrimes. This abstract examines the nature of cybercrime within the Metaverse, focusing on prevalent offenses such as identity theft, harassment, and virtual asset theft. As interactions and transactions increasingly shift to these virtual environments, the need for robust security measures becomes paramount. The anonymity inherent in the Metaverse complicates the identification of both victims and perpetrators, necessitating innovative regulatory frameworks and international collaboration to effectively combat these crimes. This study explores the motivations behind cybercriminal behavior in the Metaverse and evaluates the effectiveness of existing legal frameworks. It also proposes comprehensive strategies for enhancing security, including the use of artificial intelligence for threat detection, the development of strong cyber laws, and educational initiatives to equip users with the knowledge to navigate these environments safely. Ultimately, understanding the dynamics of cybercrime in the Metaverse is essential for protecting users and ensuring the integrity of this emerging digital space. By fostering collaboration among stakeholders, including law enforcement, platform developers, and users, the research aims to establish best practices for mitigating risks and promoting a safer virtual environment.

Keywords: Metaverse security; cyber security challenges; digital trust; AI in metaverse; virtual environments; user protection; identity spoofing; deepfakes; phishing in metaverse; avatar takeovers; VR/AR vulnerabilities; location spoofing; social engineering attacks; misinformation in virtual spaces; harassment and abuse; privacy breaches; hardware vulnerabilities; software vulnerabilities; network security; IoT device security; real-time monitoring; vulnerability assessments; identity verification; biometric authentication; multifactor authentication; secure account management; data accuracy measures; AI-driven moderation; real-time threat detection; self-healing systems; administrative oversight; security compliance; community guidelines; AI-enabled strategy; threat intelligence; user education; privacy settings; training programs; phishing prevention; secure transactions; data protection policies; encryption standards; secure data transfer; compliance audits; GDPR; CCPA compliance; AI and machine learning; behavioral analytics; adaptive security; automated threat response; moderation tools; layered security; adaptive cybersecurity; trust in the metaverse; future-proof strategies (search for similar items in EconPapers)
Date: 2024
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241061238
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT241061238 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT241061238/CSEIT241061238 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v10:y2024:i6:id:587

DOI: 10.32628/CSEIT241061238

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().