SEIMR: Secure and Ethical IoT Mixed Reality Integration Framework for Metaverse Experiences
Mueen Uddin, Maha Abdelhaq, Hamed Alsufyani, Fuhid Alanazi, Raed Ali Alsaqour · IEEE Transactions on Consumer Electronics · 2025
Mixed Reality (MR) environments are increasingly integral to various applications, necessitating robust security and privacy measures. Current frameworks often fail to address the comprehensive integration of privacy preservation, security resilience, interoperability efficiency, and ethical compliance. This study aims to develop the SEIMR framework, which seamlessly integrates the Contextual Data Anonymization Protocol (CDAP), the Dynamic Threat Response Algorithm (DTRA), the Unified IoT-MR Interaction Protocol (UIMRIP), and the Adaptive Ethical Decision-Making Algorithm (AEDMA). CDAP ensures that user data are contextually anonymized, while DTRA dynamically identifies and mitigates security threats. UIMRIP facilitates the seamless integration of heterogeneous IoT devices with MR platforms, and AEDMA maintains ethical standards through adaptive decision making. SEIMR has practical applications in healthcare and education Metaverse systems, addressing privacy and interoperability challenges effectively. The framework was evaluated using the CICIDS2017 dataset, demonstrating superior performance with a 95% detection rate, 90% privacy preservation, 88% integration efficiency and 85% ethical compliance.