Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT)

collection .- 4.2.1. Gateway layer .- 4.2.2. Management service layer/application support layer- data storage .- 4.2.3. Application/service layer .- 4.3. IoMT: A boon in healthcare.- 4.4. Challenges of IoMT .- 4.5. Benefits of IoMT .- 4.6. Structural components of IoMT .- 4.7. Functional components of IoMT.- 4.8. Structural and Functional Challenges .- Conclusion.- References.- 5. Chapter.- 5.1. Introduction.- 5.2. Working of Blockchain .- 5.2.1. Distributed Database.- 5.2.2. A network of nodes.- 5.2.3. Building Trust.- 5.3. Benefits of Blockchain Technology.- 5.3.1. Time-saving.-  .- 5.3.2. Cost-saving .- 5.3.3. Tighter security.- 5.4. Application of Blockchain .- 5.4.1. Asset Management .- 5.4.2. Cross-Border Payments .- 5.4.3. Healthcare .- 5.4.4. Cryptocurrency .- 5.4.5. Birth and Death Certificates .- 5.4.6. Online Identity Verification.- 5.4.7. Internet of Things .- 5.4.8. Copyright and Royalties .- 5.5. Application of Blockchain in Smart Healthcare .- 5.5.1. Research .- 5.5.2. Seamless switching of patients between providers .- 5.5.3. Faster, cheaper, better patient care .- 5.5.4. Interoperable electronic health records .- 5.5.5. Data security .- 5.5.6. Mobile health apps and remote monitoring .- 5.5.7. Tracing and securing medical supplies .- 5.5.8. Health insurance claims .- 5.5.9. Tracking diseases and outbreaks .- 5.5.10. Safeguarding genomics .- Conclusion.- References.- 6. Chapter .- 6.1. Introduction.- 6.2. Possible Security Attacks in DMR Internet of Things Networks.- 6.3. Security Schemes and There Challenges in DMR.- Conclusion.-  .- References.- 7. Chapter.- 7.1. Introduction .- 7.2. Benefits of IoMT in Smart Healthcare .- 7.2.1. Cost Reduction .- 7.2.2. Improve Treatment .- 7.2.3. Faster Disease Diagnosis .- 7.2.4. Drug and Equipment Management .- 7.2.5. Error Reduction .- 7.3. Tools and Technique for IoMT in Smart Healthcare .- 7.3.1. Electronic Health Record (EHR) .- 7.3.2. Referral Trackers .- 7.3.3. Patient Portals .- 7.3.4. Remote Patient Monitoring .- 7.3.5. Computerized Provider Order Entry .- 7.4. Use case of IoMT in Healthcare Industry .- 7.4.1. Internet of things for patients.- 7.4.2. Internet of things for Hospitals .- 7.4.3. Internet of things for Physicians.- 7.4.4. Internet of things for Business .- 7.4.5. Internet of things for Health Insurance Companies .- 7.5. Privacy and Security Issue in IoMT.- 7.5.1. Patients are not in charge of their own information .- 7.5.2. Present to Your Own Device (BYOD) .- 7.5.3. Telecommuting presents security chances .- 7.6. Challenges of IoMT in Smart Healthcare .- 7.6.1. Underdeveloped Initiatives .- 7.6.2. Unavailability of Memory .- 7.6.3. Keeping Updated.-  7.6.4. Data Security .- 7.6.5. Global healthcare regulations .- 7.6.6. Scalable Platforms .- 7.6.7. Data Overloading .- 7.7. Impact of IoMT on the future of the healthcare industry .- Conclusion .- References.- 8. Chapter .- 8.1. Introduction .- 8.1.1. Big Data relation with Cloud Computing .- 8.1.2. Relationship between IoMT and Big Data.- 8.1.3. Big Data and the Internet of Medical Things .- 8.1.4. IoT and Cloud Computing.- 8.1.5. Benefits of using big data, IoT and the cloud .- 8.2. IoMT needs to be integrated with cloud computing .- 8.3. Integration of IoT and Cloud Computing .- 8.4. Benefits of integrating IoT and cloud computing .- Conclusion .- References .- 9. Chapter .- 9.1. Introduction.- 9.1.1. IoT in Smart Healthcare Systems.- 9.2. Background/Present state in Data security.- 9.2.1. Data Security requirements in Smart Healthcare Systems.- 9.3. Privacy and QoS in smart healthcare.- 9.4. Data Security and Privacy Issues in Healthcare .- 9.5. QoS Parameters for Smart Healthcare.- 9.6. Suggested Security Techniques to Preserve QoS.- Conclusion .-  References .- 10. Chapter .- 10.1. Introduction.- 10.2. Authentication Schemes for Tele Medical Healthcare System.- 10.3. Processes of an authentication protocol.- Conclusion .- References .- 11. Chapter .- 11.1. Introduction.- 11.1.1. Security .- 11.1.2. Features.- 11.2. Types of Blockchain Networks .- 11.2.1. Public blockchain network .- 11.2.2. Private blockchain network.- 11.2.3. Permissioned blockchain network.- 11.2.4. Consortium Blockchain networks.- 11.3. Applications of Blockchain.- 11.3.1. Smart contracts.- 11.3.2. Involving Blockchain into Internet of Things (IOT).- 11.3.3. Preventing Identity Theft .- 11.4. Application of Blockchain in Smart Healthcare.- 11.4.1. Keeping transparency in delivering healthcare goods.- 11.4.2. Storing of medical data of patients.- 11.4.3. Remote health monitoring using IOT and blockchain .- 11.5. Electronic Health Record (EHR) and its Storage.- 11.5.1. Medical Big Data Mining and Processing in e-Healthcar.- 11.5.2. Smart healthcare systems using big data.- 11.6. Significance of Blockchain in Security of Electronic Health Record (EHR).- Conclusion.- References .- 12. Chapter .- 12.1. Introduction.- 12.1.1. A Different Healthcare World.- 12.2. Components of Telemedicine.- 12.2.1. Teleconsultation.- 12.2.2. Telementoring.- 12.2.3. Telemonitoring.- 12.3. Emerging technologies in telemedicine .- 12.3.1. Technologies proceeding telemedicine.- 12.3.2. mRNA Technology.- 12.3.3. Neurotechnology.- 12.3.4. Precision Medicine.- 12.3.5. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR).- 12.3.6. Health Wearables.- 12.3.7. Technology in Mental Health.- 12.3.8. Artificial Intelligence.- 12.3.9. Augmented and virtual reality.- 12.3.10. Tele-robots .- 12.3.11. IoT and nanotechnology .- 12.3.12. 3D Printing.- 12.3.13. Enhanced Access to Medical Data and Information.- 12.3.14. Big Data.- 12.3.15. Improved Lines of Communication.- 12.3.16. Electronic Health Records.- 12.3.17. Metaverse.- Conclusion .- References .- 13. Chapter.- 13.1. Introduction.- 13.1.1. AI and Machine Learning .- 13.1.2. Cloud Computing .- 13.1.3. Cyber security/Cloud Security .- 13.2. Role of Artificial Intelligence, Cloud Computing, and Internet Security in Smart Healthcare  .- 13.2.1. Artificial Intelligence and Machine Learning (AIML) in Healthcare Systems 182.- 13.2.2. Early Cancer Diagnosis .- 13.2.3. Diagnosis of Fatal Blood Diseases .- 13.2.4. Customer Service Chatbots .- 13.2.5. Managing the Medical Records .- 13.2.6. Dosage Errors .- 13.2.7. Robotic Surgeries .- 13.3. Cloud Computing in Healthcare Systems .- 13.4. Security Challenge in Smart Healthcare .- Conclusion.- References  .- 14. Chapter  .- 14.1. Introduction .- 14.1.1. Capturing storage techniques for healthcare data .- 14.1.2. About Healthcare Data .- 14.1.3. Data storage .- 14.1.4. Onsite data storage .- 14.1.5. Public cloud data storage .- 14.1.6. Hybrid cloud data storage solution .- 14.1.7. Benefits of storing data on the cloud from multiple sources .- 14.2. ML-enabled storage systems .- 14.3. The current state of technology .- 14.4. Enhancing existing Enterprise Data Warehouses (EDW) .- 14.5. Background work .- 14.6. ML techniques for treatment of healthcare data .- 14.7. Smart access techniques for storage systems .- 14.8. Prediction of diseases on healthcare data, both batch, and real-time data streams 197.- Conclusion  .- References  .- 15. Chapter  .- 15.1. Introduction .- 15.2. Smart Healthcare Tools and Techniques .- 15.2.1. Cloud Computing in Smart Healthcare .- 15.2.2. Medical Records Centralization .- 15.2.3. Promoting Patient Engagement .- 15.2.4. Better Scalability .- 15.2.5. Cost-Effectiveness .- 15.2.6. Advanced Analytics for Healthcare .- 15.3. Current and Future application of AI, IoT, Blockchain and Cloud Computing in Smart Healthcare  . 210.- 15.3.1. Applications of Artificial Intelligence in Smart Healthcare .- 15.3.2. Machine learning neural networks and deep learning .- 15.3.3. Physical robots 15.3.4. Natural language processing (NLP) .- 15.3.5. Applications of Internet of Things (IoT) in Smart Healthcare.- 15.3.6. Applications of Blockchain in Smart Healthcare .- 15.3.7. Applications of Cloud Computing in Smart Healthcare .- 15.4. Challenges in Smart Healthcare .- 15.4.1. Availability .- 15.4.2. Data Centralization  .- 15.4.3. Privacy/Security .- 15.4.4. Open Access.- 15.5. Future of Smart Healthcare and Telemedicine.- Conclusion.- References.

various referred International journals. He has delivered various Keynote/Guest speech in India and abroad. He got many certifications in DevOps in last two years. He has also published 20 Patents in his academic career in last few years.
Dr Monit Kapoor is currently serving at Chitkara University, Punjab, India as Dean in Department of Computer Science and Engineering. He has around 25 years of experience out of which 15 years has been in academia and 10 years has been in industry. He has guided 2 PhD scholars in the area of Sensor networks and Flying Ad hoc networks, whose PhD is completed and in addition to this he is currently guiding 4 PhD scholars in the area of Mobile Security, Vehicular Fog Computing and Artificial Intelligence. He has a total of 25 Publications to his credit in reputed journals and conferences. He has filed 5 patents as well. He is a reviewer of many international journals and has been on TPC and acted as session chair in many international conferences of repute. He is part of a working group on Mobile Security Guidelines set up by Ministry of Electronics and IT(MEITY), Government of India. He has been recognized as among top 50 tech savvy academicians in India in year 2020. In his free time, he likes to tune into music, and he loves to travel to far off destinations around the country during breaks