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Full Description
Security implementation is crucial in the Internet of Medical Things (IoMT) as it ensures the protection of sensitive medical data and prevents unauthorized access to or manipulation of devices and systems. This book covers different aspects of security implementations and challenges in IoMT and aims to bring researchers together to contribute their findings to recommend new methodologies and feasible solutions for implementing security and novel architectures in artificial intelligence, machine learning, and data science in the field of healthcare and IoT.
IoMT includes a wide range of connected medical devices and systems, such as wearable devices, medical sensors, and electronic health records, that collect, store, and share sensitive medical information. Without proper security measures, this information could be compromised, leading to serious privacy breaches, financial fraud, and even physical harm to patients.
Contents
1. IoT: An Emerging Boon in Today's Healthcare Industry, 2. Secure Blockchain-Based Intelligent Internet of Things, 3. An Intellectual Analysis of Structural Healthcare Systems in India Using Intelligence-Based Techniques, 4. A Secure Medical-IoT Device for Assisting the Visually Impaired inEexternal Navigation using a Portable Braille Pad, 5. Cybersecurity in Medical Internet of Things: Issues, Challenges, and Future Directions, 6. Security and Privacy Aspects of AI and IoT in the Healthcare Industry, 7. Security and Privacy Concerns in Smart Healthcare, 8. Fusion of Information Theoretical Models with Personalized Differential Privacy to Minimize of Privacy Loss in Healthcare Cyber Physical Systems
