Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge- the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.

Ahdi Hassan has been Associate or Consulting Editor of numerous journals and also served the editorial review board from 2013- to till now. He has a number of publications and research papers published in various domains. He has given contribution with the major roles such as using modern and scientific techniques to work with sounds and meanings of words, studying the relationship between the written and spoken formats of various Asian/European languages, developing the artificial languages in coherence with modern English language, and scientifically approaching the various ancient written material to trace its origin. He teaches topics connected but not limited to communication such as English for Young Learners, English for Academic Purposes, English for Science, Technology and Engineering, English for Business and Entrepreneurship, Business Intensive Course, Applied Linguistics, interpersonal communication, verbal and nonverbal communication, cross cultural competence, language and humor, intercultural communication, culture and humor, language acquisition and language in use.

Dr. Pronaya Bhattacharya received the Ph.D. degree from Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an Associate Professor with the Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Kolkata, India. He has over ten years of teaching experience. He has authored or coauthored more than 130 research papers in leading SCI journals and top core IEEE COMSOC A* conferences. Some of his top-notch findings are published in reputed SCI journals, such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Computational Social Systems, IEEE Transactions of Network and Service Management, IEEE Access, IEEE Sensors Journal, IEEE Internet of Things Magazine, IEEE Communication Standards Magazine, ETT (Wiley), Expert Systems (Wiley), CCPE (Wiley), FGCS (Elsevier), OQEL (Springer), WPC (Springer), ACM-MOBICOM, IEEE-INFOCOM, IEEE-ICC, IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, and IEEE-ECAI. He has an H-index of 30 and an i10-index of 67. He has edited two books and is currently editing six books from famed publishers like IGI Global, Elsevier, and Springer. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. He is listed as Top 2% scientists as per list published by Stanford University. He has been appointed at the capacity of a keynote speaker, a technical committee member, and the session chair across the globe. He was awarded Eight Best Paper Awards in Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE-ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He is a Reviewer of 21 reputed SCI journals, such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions of Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Network magazine, ETT (Wiley), IJCS (Wiley), MTAP (Springer), OSN (Elsevier), WPC (Springer), and others.

Dr. Subrata Tikadar is currently working as an 'Assistant Professor - Research & Innovation' in the Amity School of Engineering and Technology Kolkata, Amity University Kolkata, India. Prior to joining the Amity, he was associated with Vellore Institute of Technology - Andhra Pradesh, India, Aliah University Kolkata, India, Maulana Abul Kalam Azad University of Technology (formerly West Bengal University of Technology) Kolkata, India, Central Institute of Technology Kokrajhar, Assam, India, Bengal College of Engineering and Technology Durgapur, India, and Kingstone Engineering College Kolkata, India. He has around 12 years of teaching and research experience. Dr. Tikadar completed his BE in Computer Science and Engineering from the University Institute of Technology - Burdwan University (UIT-BU), India, M.Tech in Computer Science and Engineering (Specialized in Multimedia and Software Systems) form National Institute of Technical Teachers' Training and Research Kolkata (NITTTR Kolkata), India, and PhD in Computer Science and Engineering (Specialized in Human-Computer and Interaction) form Indian Institute of Technology Guwahati (IIT Guwahati), India. He is currently an active researcher in the field of Human-Computer Interaction, particularly in Advanced Learning Technology, Affective Computing, AR-VR-MR, Brain-Computer Interaction, and Interdisciplinary and Multidisciplinary interactive sensitive system design. Dr. Tikadar's remarkable awards and recognition include the Best PhD Thesis Award (in the 23rd Convocation of IIT Guwahati, India), Best Research Paper Award by IEEE Technical Committee on Learning Technology (in the 19th IEEE International Conference on Advanced Learning Technologies (ICALT 2019, Maceio, Brazil) organized by the IEEE Computer Society and the IEEE Technical Committee on Learning Technology, Scholarship from IFIP TC13 on HCI, and the IFIP Digital Equity Committee to present research papers in INTERACT 2019 Paphos, Cyprus, and a Special Recognition from ACM SIGCHI for Outstanding Research Paper Review. He is a program committee member of many international top-tier conference including 22nd ACM International Conference on Multimodal Interaction (ICMI), Utrecht, the Netherlands, and 23rd ACM International Conference on Multimodal Interaction (ICMI), Montreal, Canada. Dr. Tikadar is associated with many professional organizations that include ACM, IEEE, IEEE Computer Society Technical Committee on Learning Technology, and many more.