Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things (eBook, ePUB)

Redaktion: Imoize, Agbotiname Lucky; Obaidat, Mohammad S.; Lee, Cheng-Chi; Solanki, Vijender Kumar; Balas, Valentina Emilia

• Format: ePub

Produktbeschreibung

The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients' privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems.

Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions.

This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 508
• Erscheinungstermin: 25. Oktober 2023
• Englisch
• ISBN-13: 9781000963267
• Artikelnr.: 68789468

Autorenporträt

Agbotiname Lucky Imoize - (Senior Member, IEEE) is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. He received his B.Eng (Honours) in Electrical and Electronics Engineering from Ambrose Alli University, Nigeria in 2008, and his M.Sc in Electrical and Electronics Engineering - Communication Engineering from the University of Lagos, Nigeria in 2012. Before joining the University of Lagos, he was a Lecturer at Bells University of Technology, Nigeria. He worked as a core network products manager at ZTE Corporation, Nigeria, from 2011-2012, and as a Network Switching Subsystem Engineer at Globacom, Nigeria, from 2012-2017. Dr. Imoize was awarded the Fulbright Fellowship as a Visiting Research Scholar at the Wireless@VT Lab in the Bradley Department of Electrical and Computer Engineering, Virginia Tech, USA, where he worked under the supervision of Prof. R. Michael Buehrer from 2017-2018. He is currently a Research Scholar at Ruhr University Bochum, Germany, under the Nigerian Petroleum Technology Development Fund (PTDF) and the German Academic Exchange Service (DAAD) through the Nigerian-German Postgraduate Program. He is a Registered Engineer with the Council for the Regulation of Engineering in Nigeria (COREN) and a Nigerian Society of Engineers (NSE) member. He has co-edited one book and coauthored over 80 wireless communication papers in peer-reviewed journals. His research interests are 6G wireless communication, Artificial Intelligence, and the Internet of Things. Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, Aurel Vlaicu University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and international conferences. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSysE), a member in the Editorial Board of several national and international journals. Dr. Balas is the director of the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad and the Director of the Department of International Relations, Programs, and Projects at the same university. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling, and Simulation. Vijender Kumar Solanki, Ph.D. is an Associate Professor in Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 15 years of academic experience in network security, IoT, Big Data, Smart City, and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India, and the Institute of Technology & Science, Ghaziabad, UP, India. He has authored or co-authored more than 50 research articles that are published in various journals, books, and conference proceedings. He has edited or co-edited 14 books and conference proceedings in the area of soft computing. He received his Ph.D. in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively, and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001. He is also the Series Editor of Internet of Everything (IoE): Security and Privacy Paradigm, CRC Press, Taylor & Francis Group, USA; Artificial Intelligence (AI): Elementary to Advanced Practices Series, CRC Press, Taylor & Francis Group, USA; IT, Management & Operations Research Practices, CRC Press, Taylor & Francis Group, USA; and Computational Intelligence and Management Science Paradigm, (Focus Series) CRC Press, Taylor & Francis Group, USA. Cheng-Chi Lee received his Ph.D. degree in Computer Science from National Chung Hsing University (NCHU), Taiwan, in 2007. He is currently a Distinguished Professor with the Department of Library and Information Science at Fu Jen Catholic University. Dr. Lee is currently an editorial board member of many journals. Dr. Lee has published over 200 scientific articles on the above research fields in international journals and conferences. He is a member of IEEE, the Chinese Cryptology and Information Security Association (CCISA), the Library Association of The Republic of China, and the ROC Phi Tau Phi Scholastic Honor Society. His current research interests include data security, cryptography, network security, mobile communications and computing, and wireless communications. Mohammad S. Obaidat (Fellow of IEEE, Fellow of SCS, and Fellow of AAIA) is an internationally known academic, researcher, scientist, and scholar. He received his Ph.D. degree in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, USA. He has published 1,200 refereed technical articles with about half of them in journals, over 100 books, and about 70 book chapters. He is the Editor-in-Chief of 3 scholarly journals and an editor of many other international journals. He is the founder or co-founder of 5 International Conferences and has chaired over 180 international conferences and has given over 180 keynote speeches worldwide. He has served as ABET/CSAB evaluator and is on IEEE CS Fellow Evaluation Committee.

Inhaltsangabe

1. An Overview of AIoMT Applications.  2. Wearable Medical Electronics in
Artificial Intelligence of Medical Things.  3. Electronic Devices in the
Artificial Intelligence of the Internet of Medical Things (AIoMT).  4.
Artificial Intelligence of Medical Things for Medical Information Systems
Privacy and Security.  5. AIoMT Enabling Real-Time Monitoring of Healthcare
Systems: Security and Privacy Considerations.  6. AIoMT Concerns.  7.
Application of Artificial Intelligence of Medical Things in Remote
Healthcare Delivery.  8. Cyber Attacks against Artificial
Intelligence-Enabled Internet of Medical Things.  9. Cyberattacks against
AIoMT Architectures.  10. Local Differential Privacy for Artificial
Intelligence of Medical Things.  11. Artificial Intelligence of Internet of
Medical Things (AIoMT) in Smart Cities: A Review of Cybersecurity for Smart
Healthcare.  12. Digital Twins in the AIoMT.  13. Artificial
Intelligence-Assisted Internet of Medical Things Enabling Medical Image
Processing.  14. Application of AIoMT in Medical Robotics.  15. AIoMT on
Intelligent Selection of Location and Clustering Medical Units.  16. AIoMT
Training, Testing, and Validation.  17. AIoMT for Medical Image
Steganalysis.  18. Case Studies in AIoMT Applications: A Secure Medical
Cyber-Physical System for the Monitoring and Diagnosis of Lassa Fever.  19.
AIoMT Assisted Telemedicine: A Case Study of eSanjeevani Telemedicine
Service in India.