Synopsis
The metaverse is rapidly evolving into a persistent, interoperable constellation of immersive worlds underpinned by XR, real-time 3D engines, digital twins, edge/5G/6G, Web3 economies, and cross-platform identity systems. AI is central to this shift while simultaneously expanding the attack surface through identity spoofing, deepfakes, smart contract exploits, biometric leakage, and adversarial threats. As these environments scale, ensuring trust, security, and ethical governance becomes increasingly critical to their long-term viability. This convergence of immersive technologies and intelligent systems demands new frameworks to safeguard users while enabling innovation across interconnected digital ecosystems. Designing Trustworthy Immersive Systems at the Convergence of Metaverse, AI, and Cybersecurity advances a cohesive research agenda at the intersection of metaverse engineering, AI capabilities, and cybersecurity assurance. Bringing together perspectives from security, AI, human-computer interaction, networking, cryptography, policy, and digital economics, this book charts the technical, ethical, and governance foundations required to design trustworthy, scalable immersive systems for education, healthcare, industry, and smart cities. Covering tops such as sovereignty in immersive environments, synchronized digital identities, and immersive multi-user metaverses, this book is a critical academic resource for graduate and doctoral students, security architects, engineers, data scientists, policymakers, and more.
About the Authors
Omar Almomani: received his Bachelor's and master's degrees in Telecommunication Technology from the Institute of Information Technology at the University of Sindh in 2002 and 2003 respectively. He received his Ph.D. from the University Utara Malaysia in computer network and security in 2010. Currently, he is a professor in the Department of Networks and Cybersecurity, Faculty of Information Technology at Al-Ahliyya Amman University. Almomani is among the top 2% scientists in the world from 2022 up to now. His research interests involve network performance, network quality of service (QoS), IoT, network modeling and simulation, network and cybersecurity, and machine learning. He can be contacted at email: at almomani81@yahoo.com or o.almomani@ammanu.edu.jo
Ammar Almomani Academic Staff Member, Department of IT, Al-Balqa Applied University, Jordan Academic Staff Member, Department of Computer Information Science, Higher Colleges of Technology (HCT), Sharjah, UAE Professor Ammar Ali Almomani is a distinguished academic and researcher with over 20 years of combined teaching and industry experience in cybersecurity, artificial intelligence, and computer science. He also works as a consultant on various AI and cybersecurity initiatives and is a recipient of the prestigious UAE Golden Visa. Prof. Almomani holds a Ph.D. in Advanced Internet Security and Monitoring from Universiti Sains Malaysia (USM), He has taught over 47 specialized topics in cybersecurity and computer science, including Network Security and Artificial Intelligence. Prof. Almomani has published more than 200+ articles in reputable journals and conferences, with over 142+ indexed in Scopus,10 academic books, His contributions include 10 patents (eight in Germany and two in India) and several ongoing submissions. Recognized among the Top 2% of Global Influential Researchers by Stanford University and Scopus (2023-2024), he also serves as a consultant and expert member of the UAE Research Map (R&D). Prof. Almomani has supervised numerous undergraduate and postgraduate research projects (MSc/Ph.D.) across countries such as the UK, Malaysia, and Jordan. He has chaired and co-chaired various international conferences and journals and maintains an active digital presence with over 120,000 readers and followers on ResearchGate. In addition to his academic and research endeavors, Prof. Almomani has extensive leadership experience, having served as Head of the Research and Innovation Department and IT Department for 6 years. He has contributed to curriculum development, program accreditation (including ABET and AACSB), and the establishment of specializations in both Jordan and the UAE. Prof. Almomani continues to make a significant impact in the fields of cybersecurity, AI and higher education, fostering innovation and collaboration at local and international levels.
Mohammad Alauthman Is an associate professor and chair of the Information Security Department at the Faculty of Information Technology, University of Petra inAmman, Jordan. His research interests lie in network security, intrusion detection systems, and the application of artificial intelligence techniques like machine learning and deep learning for botnet detection, DDoS detection, spam email filtering, IoT security, and network traffic classification. He obtained his Ph.D. in computer science with a focus on network security from Northumbria University in the UK in 2016. Alauthman has been awarded several research grants in the field of network security, supporting his work on advanced intrusion detection systems and the development of AI-driven security solutions. These grants have enabled him to conduct extensive research and collaborate with international experts. His funded projects have focused on enhancing the resilience of network infrastructures against emerging threats and improving the accuracy of threat detection mechanisms
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