Enhancing Metaverse Cybersecurity With Federated Learning
Alok Jain, Dharmendra Kumar Roy, Firas Tayseer Ayasrah, P. William, Shrikaant Kulkarni · 2024
The Metaverse, a fast-growing digital frontier industry, allows real-world and virtual community members to connect. This product uses mixed, augmented, and virtual reality. Convergence has caused data breaches and identity theft. Technology convergence caused these concerns. That concentration of forces caused these difficulties. The Metaverse's dynamic and decentralised nature makes traditional cybersecurity solutions unsuitable. This project is investigating Federated Learning (FL) as a tool to improve Metaverse cybersecurity. FL simplifies training models for distributed devices while protecting data. This project will analyse foreign language (FL) usage, identify bottlenecks, and provide practical methods to incorporate FL into Metaverse cybersecurity frameworks. Research will focus on the Metaverse. This is done using an all-encompassing research methodology.