Cybersecurity for Healthcare Systems in the Internet of Medical Things Era is driven by the imperative to address the intricate convergence of healthcare, technology, and security. In response to the burgeoning challenges presented by the Internet of Medical Things (IoMT), this book is designed to be an indispensable resource for computer systems experts, healthcare staff, and executives. It goes beyond the surface, offering strategic insights and actionable strategies that encompass not only the IoMT landscape but also the intersection of artificial intelligence, signal processing, and cyber security. Cybersecurity for Healthcare Systems in the IoMT Era serves as a problem-solving compass for a diverse readership in the healthcare landscape. For healthcare professionals and IT leaders, the book untangles the complexities of integrating and securing Internet of Medical Things (IoMT) devices, offering a roadmap for understanding and navigating this rapidly evolving terrain. Biomedical engineers, burdened with strategic and everyday decisions, find in this book strategic insights and actionable strategies, empowering them to make informed choices amidst the ever-changing challenges posed by technology and cybersecurity threats. The authors present a comprehensive guide that not only elucidates the challenges and opportunities presented by IoMT but also explores how the synergy of AI and signal processing can elevate healthcare systems. This integration is crucial in deciphering the intricate nuances of medical data, enhancing diagnostics, and fortifying the security of interconnected healthcare networks.
1. Part 1. Introduction to IoMT and it’s applications - p. P1 2. 1. Overview of IoMT applications - p. 3 3. 2. IoMT meets deep learning - p. 41 4. 3. Cutting edge IoMT-based intelligent data framework for infectious diseases - p. 61 5. 4. Performance and availability models for IoMT systems: An approach based on CTMC and SPN - p. 81 6. Part 2. Advance security mechanisms of IoMT - p. P2 7. 5. Artificial intelligence of medical things (AIoMT) for medical information systems privacy and security - p. 123 8. 6. Securing real-time patient monitoring in IoMT blockchain and federated learning integration - p. 147 9. 7. Smart healthcare: fusion of multimodal medical signals - p. 171 10. 8. Use of IoT in biomedical signal analysis for healthcare systems - p. 205 11. Part 3. Identification and control of cyberthreats in IoMT - p. P3 12. 9. Intelligent assistant robot with facial authentication and remote monitoring - p. 231 13. 10. Guardians of health: navigating cyber attacks in healthcare - p. 253 14. 11. Integration of fog-based Internet of Medical Things for smart medical services - p. 275 15. 12. Securing IoMT: Requirements, challenges, techniques, and future trends - p. 301 16. Index - p. 335
Cybersecurity for Healthcare Systems in the Internet of Medical Things Era is driven by the imperative to address the intricate convergence of healthcare, technology, and security. In response to the burgeoning challenges presented by the Internet of Medical Things (IoMT), this book is designed to be an indispensable resource for computer systems experts, healthcare staff, and executives. It goes beyond the surface, offering strategic insights and actionable strategies that encompass not only the IoMT landscape but also the intersection of artificial intelligence, signal processing, and cyber security. Cybersecurity for Healthcare Systems in the IoMT Era serves as a problem-solving compass for a diverse readership in the healthcare landscape. For healthcare professionals and IT leaders, the book untangles the complexities of integrating and securing Internet of Medical Things (IoMT) devices, offering a roadmap for understanding and navigating this rapidly evolving terrain. Biomedical engineers, burdened with strategic and everyday decisions, find in this book strategic insights and actionable strategies, empowering them to make informed choices amidst the ever-changing challenges posed by technology and cybersecurity threats. The authors present a comprehensive guide that not only elucidates the challenges and opportunities presented by IoMT but also explores how the synergy of AI and signal processing can elevate healthcare systems. This integration is crucial in deciphering the intricate nuances of medical data, enhancing diagnostics, and fortifying the security of interconnected healthcare networks.
1. Part 1. Introduction to IoMT and it’s applications - p. P1 2. 1. Overview of IoMT applications - p. 3 3. 2. IoMT meets deep learning - p. 41 4. 3. Cutting edge IoMT-based intelligent data framework for infectious diseases - p. 61 5. 4. Performance and availability models for IoMT systems: An approach based on CTMC and SPN - p. 81 6. Part 2. Advance security mechanisms of IoMT - p. P2 7. 5. Artificial intelligence of medical things (AIoMT) for medical information systems privacy and security - p. 123 8. 6. Securing real-time patient monitoring in IoMT blockchain and federated learning integration - p. 147 9. 7. Smart healthcare: fusion of multimodal medical signals - p. 171 10. 8. Use of IoT in biomedical signal analysis for healthcare systems - p. 205 11. Part 3. Identification and control of cyberthreats in IoMT - p. P3 12. 9. Intelligent assistant robot with facial authentication and remote monitoring - p. 231 13. 10. Guardians of health: navigating cyber attacks in healthcare - p. 253 14. 11. Integration of fog-based Internet of Medical Things for smart medical services - p. 275 15. 12. Securing IoMT: Requirements, challenges, techniques, and future trends - p. 301 16. Index - p. 335
