Evaluation on Mitigating Cyber Attacks and Securing Sensitive Information with the Adaptive Secure Metaverse Guard (ASMG) Algorithm Using Decentralized Security

Abstract

Protecting sensitive data from cyber-attacks is essential in today's changing digital environment. Developing a decentralized access control algorithm is essential to improve security against persistent cyber-physical attacks that target sensitive data in virtual environments across the data cycle. Furthermore, an extensive review of cybersecurity processes is carried out, with an intense focus on protecting against methods involving network infiltration.This robust design increases resilience against both current and emerging cyber threats by providing a proactive approach to protecting sensitive data in the metaverse.The conceptual framework of the metaverse implies a dynamically emerging digital frontier whereby augmented and digital worlds merge to form intricate landscapes appropriate to communication and information sharing. This paper provides an overview of the Adaptive Secure Metaverse Guard (ASMG) algorithm, which aims to prevent cyberattacks and safeguard sensitive information in decentralized environments. To counter known and unknown cyber-attacks, the ASMG algorithm employs sophisticated decentralized security mechanisms and adaptive techniques. ASMG improves system resilience against cyber-attacks by combining dynamic encryption, automated response systems, and real-time threat detection. This approach combines aspects of autonomy, self-evolution, and self-defence to guarantee strong resistance and ongoing adaptability. This assessment assesses how well ASMG maintains privacy and security in the metaverse, emphasizing how revolutionary it can be for cyber protection in decentralized systems.