Academic Press Security and Privacy Issues in Internet of Medical Things

Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients. As IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks, the book covers a very timely topic. The incorporation of blockchain in the healthcare environment has given birth to the Internet of Medical Things (IoMT), which consists of a collection of healthcare systems that espouse groundbreaking technologies. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications. The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting. Review Examines the leading-edge methods and systems used to protect patient and healthcare system date in the Internet of Medical Things From the Back Cover Application of Internet of Things (IoT) in the healthcare environment has given birth to a novel moniker, the Internet of Medical Things (IoMT). IoMT corresponds to a collection of healthcare systems that has espoused ground-breaking technologies. IoMT consists of inter-linked sensors, wearable technology devices, and clinical frameworks. IoMT devices are capable of performing explicit machine-to-machine and cloud platforms’ communications through Wi-fi enabled devices for the storage and analysis of information. The significance of IoMT in the field of healthcare is undoubted because it is a win-win situation for patients through technology enhancements and collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting. Moreover, they enable targeted simulations with fewer adverse impacts. IoMT is capable of transforming healthcare environments into smart hospitals. It can assist in tasks such as monitoring patients’ vitals, enhancing the efficiency of healthcare workers, streamlining health-related processes, tracking the medication routines of patients, location of patients’ admittance, and dynamic loading of patients’ records to share with caregivers. The application of IoMT continues to expand with the improvement of technology at a breakneck speed, but various challenges have surfaced as well. Security and Privacy Issues in Internet of Medical Things address the topmost challenges faced by healthcare providers and patients in the implementation of IoMT. IoMT devices are vulnerable to cyber attackers, and a security breach through IoMT devices may act as a pathway for hackers to enter the hospital network via unauthorized access, which may cause severe and even fatal injuries for patients. It is vital to keep sensitive patient and hospital information out of the reach of hackers. The incorporation of blockchain, big data analytics and Artificial Intelligence (AI) aids in the enhancement of security and privacy protection. In this book, various state-of-theart research, techniques, and models of IoMT systems are presented to ensure data security and privacy, including Machine Learning, Deep Learning, Big Data, cloud computing, and Data Mining. About the Author Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 650 p