Preface xi About the Authors xv Acronyms xix Introduction xxiii 1 Fundamentals of mHealth Technologies and Architectures 1 1.1 Introduction to Mobile Health 1 1.2 Key Technologies in mHealth 8 1.2.1 Wearable Health Trackers 9 1.2.2 Telemedicine Platforms 10 1.2.

3 IoT Sensors in Healthcare 11 1.2.4 Cloud and Edge Computing in Healthcare 12 1.3 mHealth Architecture 14 1.3.1 Components 14 1.3.2 Network Structures 17 1.

3.3 Data Flow 19 1.3.4 Stakeholders 21 1.4 Benefits and Cybersecurity Issues of mHealth Adoption 23 Bibliography 25 2 Cybersecurity Overview and Security Models in mHealth 29 2.1 Cyber Threat Landscape in mHealth 30 2.2 Common Attack Vectors in mHealthcare Systems 34 2.3 Security Models and Frameworks in mHealth 39 2.

3.1 Main Actors and Their Trust Relationships 39 2.3.2 Potential Attackers and Threat Modeling 43 2.4 Developing a Secure mHealth Ecosystem 47 2.5 Vulnerabilities and Countermeasures for Wearable Device Security 50 Bibliography 52 3 Biometric Authentication in mHealth 55 3.1 Introduction to Biometric Authentication 56 3.2 Common Biometric Methods Used in mHealth 61 3.

2.1 Fingerprint Recognition 61 3.2.2 Facial and Iris Recognition 66 3.2.3 Voice Authentication 70 3.3 Risks and Security Challenges Associated with Biometrics 75 3.4 Enhancing Biometric Security in Healthcare Applications 79 Bibliography 83 4 Security in Body Sensor Networks (BSNs) 87 4.

1 Overview of BSNs in Healthcare 88 4.2 Security Challenges in BSNs 92 4.3 Authentication and Access Control in BSNs 94 4.4 Privacy-Preserving Techniques for BSNs 98 4.5 Leveraging Wireless Channel Information for Secure BSNs 102 Bibliography 106 5 Communication Security in mHealth 111 5.1 Securing Wireless Communications in Healthcare 112 5.2 Threat Modeling for mHealth Communication 117 5.3 Encryption Techniques for Secure Data Transmission 119 5.

4 Secure Network Architectures for mHealth 127 5.5 Preventing Man-in-the-Middle and Eavesdropping Attacks 132 5.6 Compliance and Best Practices 138 Bibliography 142 6 Data Security, Privacy, and Incident Response in mHealth 147 6.1 Challenges in Health Data Security and Privacy 148 6.2 Data Encryption and Anonymization Techniques 151 6.3 Secure Data Storage and Handling 155 6.4 Incident Detection, Response, and Recovery Strategies 159 6.5 Cybersecurity Insurance Guidance for Healthcare Organizations 166 Bibliography 170 7 AI Security and Trustworthiness in mHealth 171 7.

1 Artificial Intelligence in mHealth 172 7.1.1 Role of AI in Medical Applications 173 7.1.2 Role of AI in Data Security 176 Privacy Preserved Modeling and Federated Learning 177 General Federated Learning Algorithm 177 AI-driven Intrusion Detection and Prevention System 181 7.2 Threat Modeling for AI-driven mHealth Systems 182 7.3 Emerging Security Requirements in AI-driven mHealth Systems 190 Bibliography 193 8 Real-World Case Studies and Practical Insights 197 8.1 Case Studies: Hospital Data Breaches and Ransomware Attacks 198 8.

1.1 WannaCry ransomware 198 8.1.2 SingHealth data breach 200 8.1.3 Universal Health Services (UHS) ransomware 201 8.1.4 Qakbot Botnet 201 8.

2 Lessons Learned from Recent Cybersecurity Incidents 204 8.3 Best Practices and Hands-on Guidance for Securing mHealth Applications 206 Bibliography 208 9 Regulatory Compliance, Ethical, and Social Implications 211 9.1 Regulatory Frameworks and Compliance 212 9.1.1 Health Insurance Portability and Accountability Act - HIPAA (USA) 213 9.1.2 General Data Protection Regulation (GDPR, European Union) 219 9.1.

3 Emerging Regulations 223 9.2 Ethical Considerations in mHealth Cybersecurity 226 Bibliography 230 10 Emerging Technologies and Future Trends 233 10.1 Blockchain in mHealth Security 233 10.1.1 Distributed Ledger and Data Integrity 234 10.1.2 Transparency, Traceability, and Access Auditing 234 10.1.

3 Smart Contracts and Dynamic Access Control 235 10.1.4 Privacy-Preserving Approaches and Off-Chain Storage 236 10.1.5 Challenges: Scalability, Interoperability, and Operational Burden 236 10.1.6 Relevance to mHealth Systems 237 10.2 Zero Trust Architectures in Healthcare 238 10.

2.1 Actionable Steps in Zero Trust Architecture 240 10.3 Post-Quantum Security and Practical Near-Term Risks 243 10.4 Next-Generation Wearables and IoT Security 246 10.5 Wireless Power Transfer (WPT) and Internet of Batteryless Things (IoBT) 248 Bibliography 249 11 Cybersecurity Training and Education 253 11.1 Developing Effective Training Programs for Healthcare Professionals. 254 11.1.

1 General Awareness 255 11.1.2 Professional Training 256 11.1.3 mHealth Security Training 257 Bibliography 258.