Digital Security and Forensics
Security and Privacy in IoMT
Challenges and Solutions Forthcoming
Editors:
Deepak Gupta, MAIT, New Delhi, India
Anuj Kumar Singh, Amity University Madhya Pradesh, Gwalior, India
Yu-Dong (Eugene) Zhang, University of Leicester, UK
ISBN: 9788770041676 e-ISBN: 9788770041379
Available: August 2025
IoMT is revolutionizing the medical sector by providing personalized and targeted treatments and by facilitating seamless communication of medical data. IoMT devices are more trustworthy in monitoring and tracking due to higher accuracy levels, which also minimize human errors and inaccurate reporting. While the merits of IoMT devices are clear, they also pose severe privacy and security risks. Medical systems acquire, process, and perform decision-making based on this sensitive health information. Cyber attackers who exploit the flaws and weaknesses in these IoMT devices might well be able to penetrate the hospital network and gain unauthorized access to private patient data. Attacks on these IoMT devices also have the potential to endanger the patients' lives and cause serious physical harm.
In addition to outlining viable solutions that take into account constrained resources at IoMT end-devices, hybrid network architecture, application characteristics, and communication protocols, the book covers the core concepts of IoMT security and privacy. It describes both theoretical and practical aspects for those working in security in the IoMT, emphasizing the most significant potential IoT security issues and challenges.
1. Introduction to IoMT: Advantages, Limitations, Architecture, Applications, and Security Aspects
2. Security of Internet of Medical Things: Techniques, Challenges, and Potential Solutions
3. Formal Methods-based Security for the Internet of Medical Things (IoMT)
4. IoMT Laws in Western Countries: An Overview of Legal Landscape Governing the Use of IoMT Devices and Applications
Section 2: Advances in IoMT Security and Privacy
5. Cyber Security Framework for IoBNT: Inception and Comprehensive Review
6. Risk Monitoring Strategy for Confidentiality and Integrity of Healthcare Data
7. Arduino-based Women's Safety Smart Device for Internet of Medical Things
8. Integrating Digital Twin Technology and Intelligent Transportation System for IoMT
Section 3: Integration of AI and Machine for Securing IoMT
9. Exploring the Potential of Explainable Artificial Intelligence for Medical Diagnosis: A Review of Current Approaches and Future Directions
10. A Comprehensive Study on Securing Healthcare Systems Using Futuristic Machine Intelligence
11. Artificial Intelligence and Machine Learning Approaches for Intrusion Detection in Internet of Medical Things - Opportunities and Future Directions