Securing Data Exchange in the Convergence of Metaverse and IoT Applications
Rizwan Patan, Reza M. Parizi
Abstract
The convergence of Metaverse and Internet of Things (IoT) presents new opportunities for exchanging data, but it also introduces unprecedented security challenges. With the proliferation of IoT devices, the risk of unauthorized access and data breaches is on the rise, posing significant threats to data confidentiality and integrity. To address these challenges and protect user privacy, comprehensive security solutions are essential. We propose the SafeMetaNet approach, which combines proximity-based authentication, encryption, and blockchain technology to establish secure data exchange in the IoT-Metaverse convergence. SafeMetaNet ensures data confidentiality and integrity through encryption and establishes a tamper-proof record of data exchange using blockchain technology. We evaluated the approach’s performance using various metrics, including latency, throughput, and two security metrics: data confidentiality and data integrity, and compared it with existing approaches. Our findings show that SafeMetaNet outperforms existing approaches, providing improved security. SafeMetaNet is a promising solution for secure data exchange in the IoT-Metaverse convergence.