Adaptive AI Models and Blockchain-Enabled Smart Contracts for Dynamic Security in E-Business Metaverse Ecosystems

The emergence of the metaverse has redefined e-business ecosystems, presenting unprecedented opportunities alongside complex security and operational challenges. Conventional approaches often struggle to adapt to the dynamic nature of these virtual environments, leaving critical vulnerabilities in transaction security and system efficiency. To address these gaps, this study introduces a novel framework that integrates adaptive artificial intelligence (AI) models with blockchain-enabled smart contracts. This dual approach capitalizes on AI’s real-time adaptability to evolving threats and blockchain’s robust decentralized mechanisms to ensure transparency and trust. The research follows a four-phase methodology encompassing system design, simulation, validation, and comparative analysis. Utilizing a simulated e-business metaverse environment, the framework demonstrated significant advancements, achieving a ۹۲% security accuracy, transaction speeds of ۲,۳۰۰ TPS, and a latency reduction to ۱۲۰ ms. Comparative analysis further highlights the superior performance of the proposed system against traditional models. This research not only bridges critical gaps in e-business security but also sets a foundation for scalable and efficient operations in the metaverse. Future studies should explore real-world implementation, energy-efficient mechanisms, and cross-platform interoperability to unlock the full potential of this innovative framework. The findings provide actionable insights for researchers and practitioners, ensuring secure, adaptive, and high-performance e-business solutions in the metaverse.

کلیدواژه ها:

Adaptive AI ، Blockchain Security ، E-Business Ecosystems ، Metaverse Framework ، Smart Contracts