Cybersecurity in Emerging Healthcare Systems

Agbotiname Lucky Imoize is a lecturer at the Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Nigeria. His research interests include communications networks, IoT devices, and security systems for 5G and 6G wireless communications and healthcare systems. He is a Fulbright research fellow, the vice chair of the IEEE Communication Society, Nigeria chapter, and a registered engineer. He is a senior member of the IEEE. Chandrashekhar Meshram is an assistant professor with the Department of Post Graduate Studies and Research in Mathematics, Jaywanti Haksar Government Post Graduate College, Raja Shankar Shah University, India. His research interests include cryptography, wireless communications, and network security. Joseph Bamidele Awotunde is a lecturer in the Department of Computer Science, Faculty of Information and Communication Sciences, University of Ilorin, Nigeria. His research interests include cyber security, m-Health/e-Health systems, IoMT bioinformatics, and wireless body sensor networks. Yousef Farhaoui is a professor at the Department of Computer Science, Faculty of Sciences and Technic, Moulay Ismail University, Morocco. His research interests include cyber security and computer networks. He is the general chair, session chair, and panellist in several conferences. He is a senior member of IEEE. Dinh-Thuan Do is an assistant professor at the School of Engineering, University of Mount Union, Ohio, USA. His research interests include 6G wireless communication and AI-based Internet of Things (IoT) systems. He was a recipient of the Golden Globe Award from the Vietnamese Ministry of Science and Technology in 2015 (Top ten excellent scientists nationwide). He is a senior member of the IEEE.

Chapter 1: An Overview of Cybersecurity in Emerging Healthcare Systems
Chapter 2: Cybersecurity in the Internet of Medical Things for Healthcare Applications
Chapter 3: Adaptive Cybersecurity: AI-Driven Threat Intelligence in Healthcare Systems
Chapter 4: Emerging Trends in Cybersecurity Applications in Healthcare Systems
Chapter 5: Convolutional Neural Networks Enabling the Internet of Medical Things: Security Implications, Prospects, and Challenges
Chapter 6: Deadly Cybersecurity Threats in Emerging Healthcare Systems
Chapter 7: Artificial Intelligence for Secured Cybersecurity in Emerging Healthcare Systems
Chapter 8: Deep Based Anomalies Detection in Emerging Healthcare System
Chapter 9: Smart Contracts for Automated Compliance in Healthcare Cybersecurity
Chapter 10: Cybersecurity Computing in Modern Healthcare Systems
Chapter 11: Blockchain for Secured Cybersecurity in Emerging Healthcare Systems
Chapter 12: The ethics of cybersecurity in emerging healthcare systems
Chapter 13: Examining the Complex Interactions Between Cybersecurity and Ethics in Modern Healthcare Systems
Chapter 14: Securing Modern Insulin Pumps with iCGM System: Protecting Patients from Cyber Threats in Diabetes Management
Chapter 15: Artificial Intelligence and Machine Learning for DNS Traffic Anomaly Detection in Modern Healthcare Systems
Chapter 16: Harnessing Edge Computing for Real-Time Cybersecurity in Healthcare Systems
Chapter 17: Enhancing Healthcare Data Security: An Intrusion Detection System for Web Applications with SVM and Decision Tree Algorithms
Chapter 18: Legal and Regulatory Policies for Cybersecurity and Information Assurance in Emerging Healthcare Systems
Chapter 19: Federated Learning for Enhanced Cybersecurity in Modern Digital Healthcare Systems
Chapter 20: Directed Acyclic Graph-based Blockchains for Enhanced Cybersecurity in the Internet of Medical Things
Chapter 21: Detection and Mitigation of Cyber Attacks in Healthcare Systems
Chapter 22: Cybersecurity Concerns and Risks in Emerging Healthcare Systems