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As societies utilize smart technologies, the need for cybersecurity measures and cross-sector cyber insurance grows more urgent. In an intelligent society, cyber incidents can have extreme impacts. Cross-sector cyber insurance emerges as a tool to manage these risks, offering financial protection, resilience planning, and coordinated response mechanisms. However, this field faces challenges in standardizing risk assessment, ensuring regulatory compliance, and fostering collaboration across industries. As threats become sophisticated, the development of cyber insurance frameworks is essential to safeguarding both public and private sectors in a digital world. Cross-Sector Cyber Insurance for the Intelligent Society explores the role of cyber insurance in managing digital risks across sectors within a connected and data-driven society. It examines how cross-sector collaboration, regulatory frameworks, and cyber threats influence the design of cyber insurance models. This book covers topics such as cyber technology, risk assessment, and healthcare systems, and is a useful resource for engineers, business owners, policymakers, educators, medical professionals, academicians, researchers, and scientists.

Moatsum Alawida is an Assistant Professor of Cybersecurity at Abu Dhabi University. He earned his PhD in Computer Science with a specialization in Cybersecurity (Cryptography) from the School of Computer Sciences, Universiti Sains Malaysia, in 2020. He has published over 55 articles in high-impact factor journals. From 2021 to 2024, he was ranked among the top 2% of scientists worldwide. His research interests include cybersecurity, chaotic systems, chaos-based cryptography, multimedia security, blockchain, quantum-based cryptography, and traditional cryptography. Dr. Alawida has served as a referee for esteemed journals such as IEEE, Springer, Elsevier and others. He has also contributed to numerous conferences as a committee member, presenter, and organizer. Additionally, he has received multiple internal and external research grants.

Prof. Ammar Almomani is a distinguished academic, researcher, and consultant with over two decades of combined experience in cybersecurity, artificial intelligence, and computer science. He holds a Ph.D. in Advanced Internet Security and Monitoring from Universiti Sains Malaysia (USM) and has taught more than 45 specialized courses in his field. As an Academic Staff Member in the School of IT at Al-Balqa Applied University (Jordan) and in the Bachelor of Cybersecurity Program at the Higher Colleges of Technology (HCT) in Sharjah (UAE), Prof. Almomani also consults on various AI and cybersecurity initiatives. He has secured multiple patents (eight in Germany and two in India) and has been recognized internationally for his research, with over 165 published articles--110 of which are indexed in Scopus. His work has earned him a UAE Golden Visa, and he has been named among the Top 2% of Global Influential Researchers by Stanford University and Scopus (2023-2024). Prof. Almomani's leadership roles include serving as Head of the Research and Innovation Department and IT Department, contributing to curriculum development, program accreditation (including ABET and AACSB), and the establishment of specializations in both Jordan and the UAE. He actively supervises undergraduate and postgraduate research (MSc/Ph.D.) across multiple countries and has chaired numerous international conferences. With a strong publication record, extensive industry collaborations, and over 113,000 readers on ResearchGate, Prof. Almomani remains a driving force in advancing cybersecurity and AI. His editorial work is guided by a commitment to fostering robust academic discourse and pioneering technological innovation.

Dr. Mohammad Alauthman (contacted at email: mohammad.alauthman@uop.edu.jo) 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.