Secure Edge and Fog Computing Enabled AI for IoT and Smart Cities

Ahmed A. Abd El-Latif (SMIEEE, MACM) received the B.Sc. degree with honour rank in Mathematics and Computer Science in 2005 and M.Sc. degree in Computer Science in 2010, all from Menoufia University, Egypt. He received his Ph. D. degree in Computer Science & Technology at Harbin Institute of Technology (H.I.T), Harbin, P. R. China in 2013. He is an associate professor of Computer Science at Menoufia University, Egypt, and at EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Saudi Arabia. In more than 17 years of his professional experience, he published over 260 papers in journals/conferences including 10 books with over 8800 citations. He was also selected in the 2022, 2021 and 2020 Stanford University's ranking of the world's top 2% scientists. He involved in government and international funded R&D projects related to the widespread use of artificial intelligence for 5G/6G networks. He received many awards, State Encouragement Award in Engineering Sciences 2016, Arab Republic of Egypt; the best Ph.D. student award from Harbin Institute of Technology, China 2013; Young scientific award, Menoufia University, Egypt 2014. He is a fellow at Academy of Scientific Research and Technology, Egypt. His areas of interests are Cybersecurity, 5G/6G Wireless Networks, Post-Quantum Cryptography, Artificial Intelligence of Things, AI-Based Image Processing, Information Hiding, Dynamical systems (Discrete-time models: Chaotic systems and Quantum Walks). He is the leader of mega grant program "Research of network technologies with ultra-low latency and ultra-high density based on the widespread use of artificial intelligence for 6G networks". Dr. Abd El-Latif is the chair/co-chair of many Scopus/ EI conferences. He is the EIC of International Journal of Information Security and Privacy, and series editor of Advances in Cybersecurity Management. Also, academic editor/ associate editor for set of indexed journals (Scopus journals' quartile ranking).

Lo'ai Tawalbeh (IEEE SM) completed his PhD degree in Electrical & Computer Engineering from Oregon State University in 2004, and MSc in 2002 from the same university with GPA 4/4. Dr. Tawalbeh is currently an Associate professor at the department of Computing and Cyber Security at Texas A&M University-San Antonio. Before that he was a visiting researcher at University of California-Santa Barbra. Since 2005 he taught/developed more than 25 courses in different disciplines of computer engineering and science with focus on cyber security for the undergraduate/graduate programs at: NewYork Institute of Technology (NYIT), DePaul's University, and Jordan University of Science and Technology. Dr. Tawalbeh won many research grants and awards with over than 2 Million USD. He has over 80 research publications in refereed international Journals and conferences.

Yassine Maleh is an associate professor of cybersecurity and IT governance at Sultan Moulay Slimane University, Morocco. He is a PhD in computer sciences, since 2017. He is the founding chair of IEEE Consultant Network Morocco and founding president of the African Research Center of Information Technology  Cybersecurity. He is a senior member of IEEE and a member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of things security, wireless and constrained networks security. His research interests include information security and privacy, Internet of things, networks security, information system, and IT governance. He has published over than 100 papers (book chapters, international journals, and conferences/workshops), 17edited books, and 3 authored books. He is the editor-in-chief of the International Journal of Information Security and Privacy, and the International Journal of S

Part 1: AI Enabled Smart City IoT System using Edge /Fog Computing.- Chapter 1. Multi-level edge computing system for autonomous vehicles.- Chapter 2. UAVs based edge computing system for smart city applications.- Chapter 3. Organization of Smart City Services Based on Microservice Architecture.- Chapter 4. Pseudo-Random Error-Correcting Codes in Network Coding.- Chapter 5. Proactive management in Smart City: transport convoys.- Chapter 6. Federated Learning for Linux Malware Detection: An Experimental Study.- Chapter 7. Delay prediction in M2M networks using Deep Learning approach.- Chapter 8. Energy-Efficient Beam Shaping in MIMO System Using Machine Learning.- Chapter 9. Channel Cluster Configuration Selection Method for IEEE 802.11 Networks Planning.- Chapter 10. Service migration algorithm for UAVs recharge zones in future 6G network.- Chapter 11. FedBA: Non-IID Federated Learning Framework in UAV Networks.- Part 2: Fog/Edge Computing Security Issues.- Chapter 12. Big Data Analytics for Secure Edge-based Manufacturing Internet of Things (MIoT).- Chapter 13. Artificial Intelligence-Based Secure Edge Computing Systems for IoTDs and Smart Cities: A Survey.- Chapter 14. Machine Learning Techniques for Secure Edge SDN.- Chapter 15.  Machine Learning-Based Identity and Access Management for Cloud Security.- Chapter 16. Spatial Data of Smart Cities: Trust.- Chapter 17. Smart City Infrastructure Projects: Spatial Data of Risks.- Chapter 18. A Comparative Analysis of Blockchain-Based Authentication Models for IoT Networks.- Chapter 19. Development of determining a wireless client location method in the IEEE 802.11 network in order to ensure the IT infrastructure security.