mHealth Cybersecurity

Secure mobile health ecosystems against evolving cyber threats with AI Wearable health trackers, telemedicine platforms, and IoT-connected medical sensors generate unprecedented volumes of sensitive patient data, yet their attack surfaces remain poorly understood and inadequately defended. mHealth Cybersecurity: Ensuring Privacy and Security in the Era of Mobile Healthcare provides a systematic analysis of cyber threats targeting mobile healthcare infrastructure, from cloud and edge computing vulnerabilities to compromised real-time monitoring and AI-driven diagnostic systems. The book examines AI-powered threat detection techniques, including strategies for mitigating decision bias in automated security systems. It addresses regulatory compliance frameworks and ethical considerations surrounding patient privacy and equitable access to secure healthcare. Real-life case studies illustrate how specific attacks unfold across telemedicine, remote monitoring, and wearable device ecosystems, connecting threat analysis directly to defensive countermeasures. Readers will also find: Detailed coverage of how smartphones, smartwatches, and fitness trackers have evolved and the security implications each device category introducesAnalysis of common attack vectors targeting mHealth ecosystems, including cloud infrastructure, edge computing nodes, and IoT sensor networksGuidance on applying AI and machine learning to strengthen cybersecurity defenses while managing the risks of automated decision-makingDiscussion of regulatory standards and compliance requirements that govern privacy protections across mobile healthcare platforms and connected devicesExploration of emerging technologies shaping the future of mHealth security, from digital twins to next-generation wearable biosensor architecturesWritten for cybersecurity professionals, healthcare IT managers, mHealth app developers, IoT device engineers, and researchers working at the intersection of connected health and information security, this book delivers the technical depth and regulatory context needed to build and maintain resilient mobile healthcare systems that protect patient data.