Current Internet of Things (IoT) based healthcare systems are incapable of sharing data between platforms in an efficient manner and holding them securely at the logical and physical level. To this end, blockchain technology guarantees a fully autonomous and secure ecosystem by exploiting the combined advantages of smart contracts and global consensus. However, incorporating blockchain technology in IoT healthcare systems is not easy. Centralized networks in their current capacity will be incapable to meet the data storage demands of the incoming surge of IoT based healthcare wearables. Blockchain Technology Solutions for the Security of IoT-based Healthcare Systems explores the various benefits and challenges associated with the integration of blockchain with IoT healthcare systems, focusing on designing cognitive-embedded data technologies to aid better decision-making, processing, and analysis of large amounts of data collected through IoT. This book series targets the adaptation of decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures, as well as big data and Internet of Things (IoT) problems, can be handled in practice.
Highlights the coming surge of IoT based healthcare wearables and predicts that centralized networks in their current capacity will be incapable to meet the data storage demands
Outlines the major benefits as well as challenges associated with integration of blockchain with IoT healthcare systems
Investigates use-cases and latest research on securing healthcare IoT systems using blockchain technology
Discusses the evolution of blockchain technology, from fundamental theories to applications in healthcare systems
Gathers and investigates the most recent research solutions that handle security and privacy threats while considering resource constrained IoT healthcare devices
Researchers, professionals, and graduate students in computer science & engineering; bioinformatics
Table of Contents
1. IoT: Fundamentals and challenges 2. Security issues of IoT 3. IoT-based Healthcare Systems 4. Emerging e-Health IoT Applications 5. Blockchain: Concept and Emergence 6. Application of Blockchain for security 7. Role of Blockchain in IoT based healthcare systems 8. Decentralized management of healthcare IoT devices 9. Blockchain based insurance and healthcare 10. Blockchain adoption strategies
Dr. Bharat Bhushan is an Assistant Professor of the Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology, Sharda University, Greater Noida, in India. He is an alumnus of Birla Institute of Technology, Mesra, Ranchi, India. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012, received his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (Ph.D. Computer Science and Engineering) in 2021 from Birla Institute of Technology, Mesra, India. He earned numerous international certifications such as CCNA, MCTS, MCITP, RHCE and CCNP. In the last three years, he has published more than 80 research papers in various renowned International conferences and SCI indexed journals including Wireless Networks (Springer), Wireless Personal Communications (Springer), Sustainable Cities and Society (Elsevier) and Emerging Transactions on Telecommunications (Wiley). He has contributed more than 25 book chapters in various books and has edited 11 books from the most famed publishers like Elsevier, IGI Global, and CRC Press. He has served as a Reviewer/Editorial Board Member for several reputed international journals. In the past, he worked as an assistant professor at the HMR Institute of Technology and Management, New Delhi and Network Engineer in HCL Infosystems Ltd., Noida. He has qualified GATE exams for successive years and gained the highest percentile of 98.48 in GATE 2013. He is also a member of numerous renowned bodies including IEEE, IAENG, CSTA, SCIEI, IAE and UACEE.
Affiliations and Expertise
Research Scholar, Department of Computer Science and Engineering (CSE), Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India
Dr. Sudhir Kumar Sharma is a Professor in the Department of Computer Science, Institute of Information Technology & Management affiliated to GGSIPU, New Delhi, India. He has extensive experience with over 19 years in the field of Computer Science and Engineering. He obtained his Ph.D. degree in Information Technology from USICT, GGSIPU, New Delhi, India. Dr. Sharma obtained his M. Tech degree in Computer Science & Engineering in 1999 from the Guru Jambheshwar University, Hisar, India and M.Sc. degree in Physics from the University of Roorkee (now IIT Roorkee), Roorkee, in 1997. His research interests include Machine Learning, Data Mining, and Security. He has published a number of research papers in various prestigious International Journals and International Conferences. He is a life member of CSI and IETE. Dr. Sharma is an Associate Editor of the International Journal of End-User Computing and Development (IJEUCD), IGI Global, USA. He is a convener of ICETIT-2019.
Affiliations and Expertise
Professor, Department of Computer Science, Institute of Information Technology & Management, GGSIPU, New Delhi, India
Prof. (Dr.) Muzafer Saracevic, Ph.D. is a full Professor at the University of Novi Pazar, Serbia. His research work covers the areas of software engineering and programming, applied mathematics, cryptography and data protection. He graduated in computer sciences (cryptography) at the Faculty of Informatics and Computing in Belgrade, obtained his Master degree from the University of Kragujevac, Faculty of Technical Sciences, and completed his Ph.D. (field of computational geometry) at the University of Nis, Faculty of Science and Mathematics in 2013 (Serbia). He authored/co-authored several university textbooks and over 170 scientific papers printed in international and national journals, and proceedings of international and national scientific conferences. He has published scientific papers and chapters in journals and monographs of world publishers (Elsevier, Springer, Taylor and Francis, IEEE, Wiley, IET, TechScience Press, MDPI, De Gruyter, IGI Global, IOP Science). He authored/co-authored articles in high-ranked and prestigious journals such as Future Generation Computer Systems (Elsevier), IEEE Transactions on Reliability (IEEE), IET Intelligent Transport Systems, International Journal of Computer Mathematics (Taylor and Francis), Mathematics (MDPI). He is a member of the editorial board for 15 journals. He worked reviews for more than 40 international journals and many conferences.
Affiliations and Expertise
Professor, University of Novi Pazar, Serbia
Prof. (Dr.) Azedine Boulmakoul is a Professor in the Department of Computer Science at FST Mohammedia - Hassan II University of Casablanca, where he has been since 1994. He received his Ph.D. and from the Claude Bernard University of Lyon in 1990 and 1994 respectively. In 1987, he was lecturer assistant at the ENTPE School (Ecole Nationale des Travaux Public de l’Etat Lyon France). For the period of 1987-1988, he was appointed Assistant Professor at INSA de Lyon. Between 1987 and 1994, he joined the National Institute for Research on Transportation and Safety (INRETS-Paris, www.ifsttar.fr) for Real Time intelligent systems' research development. He is President of Innovative Open Spatial Information Systems Association: www.iosis.ma. He has received many awards for his contributions to research and business development, including French Academy of Sciences, R&D Maroc Awards and Distinction Medal from Moroccan Ministry of Higher Education and Research, Distinction Medal from Istanbul International Inventions. He also contributes to intellectual property of industrial patents. Several years in R&D and in studies and business consulting. He has chaired several conferences and program committees. He is the author of over three hundred papers (in books, journals and conferences, patents) on computer science. He holds ten patents deriving from his research. His research interests include intelligent real time systems, logic for artificial intelligence, fuzzy systems theory, distributed frameworks, data analytics, complex systems, information systems engineering, transportation, and computer engineering.