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.
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 AI, machine learning and data science in the field of healthcare and IoT.
1. IoT: An Emerging Boon in Todays 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
Dr. Luxmi Sapra is working as Associate Professor at Graphic Era Hill University, Dehradun, India. She has done her Doctorate in Computer Science and Engineering from NorthCap University and received her Masters in Technology from MDU, Rohtak. India. She is having approximately 18 years of research and teaching experience. She has to her credit more than 30 publications in reputed journals and conferences including Elsevier, Springer and IEEE. She is also a reviewer of various international Journals. She has also received 3AI Pinnacle Award for Women in AI and Analytics in 2020. Awarded 4th Himalayi Nari Shakti Samman-2022 on the occasion of Womens day 8th March 2022 at DIT University, Dehradun. Her research areas include Cyber Security, Machine Learning, Artificial Intelligence and Healthcare.
Dr. Akashdeep Bhardwaj is working as Professor (Cyber Security & Digital Forensics) at University of Petroleum & Energy Studies (UPES), Dehradun, India. An eminent IT Industry expert with over 27 years of experience in areas such as Cybersecurity, Digital Forensics and IT Management Operations, Dr. Akashdeep now mentors graduate, masters and doctoral students and leads several IT Security projects. Dr. Akashdeep has Post-Doctoral from Saudi Arabia, Ph.D. in Computer Science, Post Graduate Diploma in Management (equivalent to MBA), and an Engineering Degree in Computer Science. Dr. Akashdeep has published several copyrights, patent, research papers, authored & edited books, and chapters in international journals and publishers. Dr. Akashdeep worked as Technology Leader for various multinational organizations during his time in the IT industry. Dr. Akashdeep is certified in Cybersecurity, Compliance Audits, Information Security, Microsoft, Cisco and VMware technologies.
Email: bhrdwh@yahoo.com
ORCID: https://orcid.org/0000-0001-7361-0465
Dr. Varun Sapra is presently associated with the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. He is an accomplished academic professional with 18 years of experience in both academia and industry. His experience is a blend of both Industry and Academia. Before joining academics, he was in the corporate sector and worked in companies like Cupid Software, WebOpac Applications, CMA, and many more. Dr. Varun has Ph.D in Computer Science, M.Tech in Software Engineering. He has to his credit more than 25 publications in peer-reviewed International Journals & Conferences and has published several copyrights, patents, research papers & edited books, and chapters in international journals and publishers. His research area includes Machine Learning, Decision Support Systems, Case Based Reasoning, and Self Organizing Maps.
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