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.
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.
1. Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems - p. i 2. Cover - p. i 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xiii 7. About the editors - p. xvii 8. Preface - p. xxi 9. Chapter 1 Integration of E-health and Internet of Things - p. 1 10. Chapter 2 Industry 4.0 technologies for healthcare: Applications, opportunities, and challenges - p. 23 11. Chapter 3 Integrated machine learning techniques for preserving privacy in Internet of Things (IoT) systems - p. 45 12. Chapter 4 Implementation of two factor authentication using face and iris biometrics - p. 77 13. Chapter 5 Performance investigation of several convolutional neural network models in healthcare systems - p. 97 14. Chapter 6 The classification of the investigations and punishment for crime syndicates that relate to intrusions against IoT-based healthcare systems - p. 113 15. Chapter 7 IoT in modern healthcare systems focused on neuroscience disorders and mental health - p. 133 16. Chapter 8 Blockchain implementation for IoT devices: Blockchain of Things - p. 151 17. Chapter 9 Emergence of blockchain technology in the healthcare and insurance industries - p. 167 18. Chapter 10 The use of blockchain technology in IoT-based healthcare: A concise guide - p. 183 19. Chapter 11 Applications of blockchain technology for improving security in the internet of things (IoT) - p. 199 20. Chapter 12 Blockchain for medical insurance: Synthesizing current knowledge and problematizing it for future research avenues - p. 223 21. Chapter 13 Blockchain embedded security and privacy preserving in healthcare systems - p. 241 22. Chapter 14 Blockchain-based decentralized management of IoT devices for preserving data integrity - p. 263 23. Index - p. 287
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.
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.
1. Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems - p. i 2. Cover - p. i 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Contributors - p. xiii 7. About the editors - p. xvii 8. Preface - p. xxi 9. Chapter 1 Integration of E-health and Internet of Things - p. 1 10. Chapter 2 Industry 4.0 technologies for healthcare: Applications, opportunities, and challenges - p. 23 11. Chapter 3 Integrated machine learning techniques for preserving privacy in Internet of Things (IoT) systems - p. 45 12. Chapter 4 Implementation of two factor authentication using face and iris biometrics - p. 77 13. Chapter 5 Performance investigation of several convolutional neural network models in healthcare systems - p. 97 14. Chapter 6 The classification of the investigations and punishment for crime syndicates that relate to intrusions against IoT-based healthcare systems - p. 113 15. Chapter 7 IoT in modern healthcare systems focused on neuroscience disorders and mental health - p. 133 16. Chapter 8 Blockchain implementation for IoT devices: Blockchain of Things - p. 151 17. Chapter 9 Emergence of blockchain technology in the healthcare and insurance industries - p. 167 18. Chapter 10 The use of blockchain technology in IoT-based healthcare: A concise guide - p. 183 19. Chapter 11 Applications of blockchain technology for improving security in the internet of things (IoT) - p. 199 20. Chapter 12 Blockchain for medical insurance: Synthesizing current knowledge and problematizing it for future research avenues - p. 223 21. Chapter 13 Blockchain embedded security and privacy preserving in healthcare systems - p. 241 22. Chapter 14 Blockchain-based decentralized management of IoT devices for preserving data integrity - p. 263 23. Index - p. 287
