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Blockchain for 5G Healthcare Applications: Security and privacy solutions [Kõva köide]

Edited by (Nirma University, Institute of Technology, Department of Computer Science and Engineering, Ahmedabad, India)
  • Formaat: Hardback, 582 pages, kõrgus x laius: 234x156 mm
  • Sari: Healthcare Technologies
  • Ilmumisaeg: 18-Jan-2022
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1839533250
  • ISBN-13: 9781839533259
Teised raamatud teemal:
Blockchain for 5G Healthcare Applications: Security and privacy solutionsSuurem pilt
  • Formaat: Hardback, 582 pages, kõrgus x laius: 234x156 mm
  • Sari: Healthcare Technologies
  • Ilmumisaeg: 18-Jan-2022
  • Kirjastus: Institution of Engineering and Technology
  • ISBN-10: 1839533250
  • ISBN-13: 9781839533259
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781839533259.html
Märksõnad:

A secured system for Healthcare 4.0 is vital to all stakeholders, including patients and caregivers. Using the new Blockchain system of trusted ledgers would help guarantee authenticity in the multi-access system that is Healthcare 4.0. This is the first comprehensive book on the topic, which includes coverage of privacy and security.



A secured system for Healthcare 4.0 is vital to all stakeholders, including patients and caregivers. Using the new Blockchain system of trusted ledgers would help guarantee authenticity in the multi-access system that is Healthcare 4.0. This is the first comprehensive book that explores how to achieve secure systems for Healthcare 4.0 using Blockchain, with emphasis on the key challenges of privacy and security.

The book is organized into four sections. The first section is focused on 5G healthcare privacy and security concerns. The second section discusses healthcare architecture and emerging technologies. The third section covers the role of artificial intelligence for data security and privacy in 5G healthcare services. Finally, the last section systematically illustrates the adoption of blockchain in various applications of 5G healthcare.

The book is essential reading for all involved in setting up, running, and maintaining healthcare information systems. Engineers, scientists, technologists, developers, designers, and researchers in healthcare technologies, health informatics, security, and information technology will find the content particularly useful.

About the Editor xxi
Preface xxiii
1 Security and privacy requirements in 5G healthcare
1(34)
Nagendra Singh
Yogendra Kumar
1.1 Introduction
2(8)
1.1.1 How will 5G affect health-care system?
5(3)
1.1.2 Integration of blockchain, 5G and healthcare
8(2)
1.1.3 Contributions of this chapter
10(1)
1.1.4 Motivation
10(1)
1.2 Related work
10(1)
1.2.1 Research gap
10(1)
1.3 Challenges associated with the present healthcare system
11(3)
1.3.1 Challenges with health records
11(1)
1.3.2 Universal access limitations
11(1)
1.3.3 Long-term constant care burden
11(1)
1.3.4 Challenges for aging populations
12(1)
1.3.5 Limitation of the resources
12(1)
1.3.6 Problems associated with healthcare information systems
13(1)
1.3.7 Lack of data driven
13(1)
1.3.8 Healthcare disparities
13(1)
1.3.9 Standardization and interoperability
14(1)
1.3.10 Effective regulation
14(1)
1.3.11 Data privacy and research needs
14(1)
1.4 5G technology
14(4)
1.4.1 Millimeter waves
16(1)
1.4.2 Small cells
16(1)
1.4.3 Big multiple input/output system
17(1)
1.4.4 Beamforming
17(1)
1.4.5 Full duplex
17(1)
1.4.6 Software-defined networks
18(1)
1.5 Technical challenges and the path to 5G
18(2)
1.5.1 Trust management
19(1)
1.5.2 Encryption method
19(1)
1.5.3 Access control
19(1)
1.5.4 Privacy
19(1)
1.6 Security and privacy
20(2)
1.6.1 Authentication
20(1)
1.6.2 Confidentiality
21(1)
1.6.3 Availability
21(1)
1.6.4 Integrity
21(1)
1.7 5G and healthcare opportunities
22(7)
1.7.1 Fast and intelligent networks
22(1)
1.7.2 Back-end services
22(1)
1.7.3 Low latency
23(1)
1.7.4 Applications of 5G in healthcare
23(4)
1.7.5 Impact of 5G on medical access, quality, and cost
27(1)
1.7.6 The impact of 5G on healthcare
27(2)
1.8 Conclusions
29(6)
References
30(5)
2 Ethical and legal aspects of using blockchain technology for 5G-based health-care systems
35(18)
Shashank Srivastava
Richesh Gupta
Prateek Pandey
Ratnesh Litoriya
2.1 Introduction
36(1)
2.1.1 Research contribution
36(1)
2.1.2 Motivation
37(1)
2.1.3 Organization
37(1)
2.2 Blockchain technology and 5G in healthcare
37(2)
2.2.1 Edge computing
38(1)
2.2.2 Augmented and virtual reality
38(1)
2.2.3 Ambulance drones
39(1)
2.2.4 5G on mobile app development
39(1)
2.3 Issues of privacy and security
39(2)
2.4 Security spectrum of 5G-enabled devices
41(1)
2.4.1 Privacy
42(1)
2.4.2 Transparency
42(1)
2.4.3 No single point of failure
42(1)
2.5 Key issues and stakeholders
42(2)
2.5.1 Tweaking of IoT devices
42(1)
2.5.2 No protocol right now to govern them all
43(1)
2.5.3 Blockchain owning
43(1)
2.5.4 Energy inefficiency
44(1)
2.5.5 High-altitude limitations
44(1)
2.5.6 Man-in-the-middle attack
44(1)
2.6 Trust and regulations
44(1)
2.7 Regulatory bodies and the role of the government
45(1)
2.8 Future challenges
45(2)
2.8.1 Cost
46(1)
2.8.2 Infrastructure
46(1)
2.8.3 Security and privacy
46(1)
2.8.4 Frequency bands
46(1)
2.8.5 Training and education challenges
47(1)
2.9 Conclusion
47(6)
References
47(6)
3 Blockchain-based 5G-enabled health-care system: an analysis of security and privacy issues
53(30)
Shweta Kaushik
3.1 Introduction
54(7)
3.1.1 Blockchain
54(2)
3.1.2 Types of blockchain
56(1)
3.1.3 5G technology
57(1)
3.1.4 Healthcare
58(3)
3.2 Blockchain integration with 5G
61(1)
3.2.1 Blockchain for 5G advancements
62(1)
3.3 Need of blockchain in healthcare
62(3)
3.4 Blockchain-based health-care system
65(2)
3.5 Security and privacy properties requirements in healthcare
67(5)
3.6 Security and privacy techniques
72(4)
3.7 Healthcare-based application in blockchain
76(3)
3.8 Conclusion
79(4)
References
79(4)
4 Enhanced blockchain technology associated with IoT for secure and privacy communications in 5G
83(32)
T. S. Arulananth
Dr. M. Baskar
Dr. J. Ramkumar
K. Srinivas Rao
4.1 Introduction
84(2)
4.2 Design process of blockchain-based systems
86(1)
4.3 IoT - with 5G and blockchain
87(3)
4.3.1 Requirements of IoT
88(1)
4.3.2 Benefits of 5G
89(1)
4.3.3 Impact of blockchain technology on digital commerce
89(1)
4.3.4 Impact of blockchain on IoT
89(1)
4.4 5G technology for greater connectivity
90(3)
4.4.1 Mobile payment networks to worldwide communication
90(1)
4.4.2 How blockchain and 5G help secure versatile banking
90(1)
4.4.3 How will 5G WiFi enhance blockchain-based crypto assets?
91(1)
4.4.4 Scaling of blockchain functionality by 5G
92(1)
4.4.5 5G for boosting keen agreements credibility
92(1)
4.4.6 How 5G will increase network volume for blockchain improvement?
92(1)
4.4.7 Will 5G bargain blockchain innovation's latent capacities?
93(1)
4.5 5G-based blockchain distributed ledger technology
93(1)
4.6 Secure mobile banking using 5G and blockchain
94(1)
4.7 5G benefits to blockchain and crypto users
94(3)
4.7.1 5G affect on revolutionizing blockchain
95(1)
4.7.2 How 5G authorizes smart contracts
96(1)
4.8 Blockchain in defense to secure communications
97(1)
4.9 Key issues in blockchain in communications
98(1)
4.10 5G challenges facing deployment
99(4)
4.11 New opportunities for 5G applications
103(1)
4.12 Blockchain works to secure communications
103(3)
4.12.1 Centralized, distributed, and decentralization networking
103(1)
4.12.2 Coding modern coding is furthermore
104(1)
4.12.3 Vulnerabilities in existing communications protocols
104(1)
4.12.4 Weaknesses in packetization
104(1)
4.12.5 Securing community packets with blockchain
105(1)
4.12.6 Weaknesses in net protocol addresses
105(1)
4.12.7 Protecting IP addresses with decentralized communications
106(1)
4.13 Propose framework along with blockchain technology
106(1)
4.14 Case study
107(1)
4.15
Chapter summary and conclusions
108(7)
References
109(6)
5 5G-driven radio framework for proficient smart health-care institutions
115(16)
Himanshu Sharma
Mahmoud A. M. Albreem
Arun Kumar
5.1 Introduction
116(1)
5.2 Motivation and contribution
117(1)
5.3 Waveform techniques for 5G
118(4)
5.3.1 OFDM
118(1)
5.3.2 FBMC
119(1)
5.3.3 NOMA
120(1)
5.3.4 UFMC
121(1)
5.4 Detection systems
122(3)
5.4.1 Zf
122(1)
5.4.2 MMSE scheme
123(1)
5.4.3 Beamforming
124(1)
5.5 Simulation results
125(1)
5.6 Case studies
126(1)
5.7 Conclusion
127(4)
References
128(3)
6 Traditional vs. the blockchain-based architecture of 5G healthcare
131(38)
Khalimjon Khujamatov
Nurshod Akhmedov
Ernazar Reypnazarov
Doston Khasanov
6.1 Introduction
131(3)
6.1.1 Motivations
132(1)
6.1.2 Structure of the chapter
132(2)
6.2 5G-based smart healthcare industry: challenges, benefits, and use cases
134(4)
6.2.1 5G healthcare challenges
135(1)
6.2.2 5G Healthcare benefits
136(1)
6.2.3 5G Healthcare use cases
137(1)
6.3 Traditional 5G healthcare architecture
138(5)
6.3.1 5G Healthcare overall architecture
139(1)
6.3.2 5G Healthcare infrastructure architecture
140(2)
6.3.3 5G Healthcare RAN architecture
142(1)
6.3.4 5G Healthcare core network architecture
143(1)
6.4 Blockchain-based 5G healthcare architecture
143(11)
6.4.1 Blockchain
145(1)
6.4.2 The components of a blockchain
146(1)
6.4.3 The components of blockchain block
147(1)
6.4.4 The blockchain-based architecture of 5G healthcare
148(6)
6.5 Comparative analysis: traditional vs. blockchain-based architecture of 5G healthcare
154(9)
6.5.1 Healthcare requirements
154(2)
6.5.2 5G opportunities for healthcare requirements
156(2)
6.5.3 Blockchain opportunities for healthcare requirements
158(1)
6.5.4 Blockchain to support 5G healthcare architecture functions
159(3)
6.5.5 Blockchain-based 5G healthcare architecture use cases
162(1)
6.6 Conclusion
163(6)
References
164(5)
7 Integrating blockchain technology in 5G-enabled smart healthcare: A SWOT Analysis
169(28)
S. Sridevi
G. R. Karpagam
B. Vinoth Kumar
J. Uma Maheswari
7.1 Introduction
170(2)
7.1.1 Motivation of the chapter
172(1)
7.1.2 Contribution of the chapter
172(1)
7.1.3 Organization of the chapter
172(1)
7.2 Overview of blockchain technology
172(5)
7.2.1 Blockchain structure
173(1)
7.2.2 Key characteristics of blockchain
174(1)
7.2.3 Applications of blockchain in healthcare
175(2)
7.3 Overview of 5G networks
177(5)
7.3.1 Relevance of 5G in the healthcare sector
179(1)
7.3.2 Performance driving with 5G
179(2)
7.3.3 Advance features of 5G technology
181(1)
7.3.4 Potential applications of 5G technologies
182(1)
7.4 Potentials of integrating blockchain and 5G technology
182(5)
7.5 Perceptual overview of integrating blockchain and 5G technology in the healthcare sector
187(3)
7.5.1 Challenges of incorporating 5G and blockchain in the healthcare sector
188(2)
7.6 Use case scenario
190(2)
7.6.1 Characteristics of mobile application interactions between 5G and blockchain technology for serving the patient requirement
191(1)
7.6.2 Challenges arise in mobile application interactions between 5G and blockchain technology for serving the patient requirement
192(1)
7.7 SWOT analysis of incorporating blockchain and 5G technologies in the Healthcare sector
192(1)
7.8 Conclusion
192(5)
References
194(3)
8 Architectural framework of 5G-based smart healthcare system using blockchain technology
197(30)
M. Kiruthika
Vaishali Gupta
T. Poongodi
B. Balamurugan
8.1 Introduction
197(5)
8.1.1 Overview of blockchain for healthcare
198(1)
8.1.2 Need for 5G
199(1)
8.1.3 Implication of 5G in healthcare
200(2)
8.2 Traditional architecture - SHS using blockchain
202(6)
8.2.1 Basic architecture of SHS
202(2)
8.2.2 Architectural structure of blockchain
204(3)
8.2.3 SHS architecture using blockchain
207(1)
8.3 5G-based smart healthcare architecture using blockchain
208(10)
8.3.1 Introduction
208(1)
8.3.2 Smart healthcare
209(1)
8.3.3 Design objectives of SHS
210(1)
8.3.4 5G for SHS
211(4)
8.3.5 Blockchain in smart healthcare
215(1)
8.3.6 5G-based architecture for SHS using blockchain
215(1)
8.3.7 Smart health devices and their significance
216(2)
8.4 Privacy and security in 5G-based SHS
218(1)
8.5 Advantages of 5G-based architecture in SHS
218(2)
8.6 Open research issues and challenges
220(7)
References
221(6)
9 Application of millimeter wave (mm-Wave)-based device-to-device (D2D) communication in 5G healthcare
227(22)
Anant Sinha
Sachin Kumar
Pooja Khanna
9.1 Introduction
228(1)
9.1.1 5G: features
228(1)
9.2 Introduction to D2D communication technology
229(6)
9.2.1 D2D-assisted cellular communication
230(1)
9.2.2 D2D communication in LTE advanced
231(1)
9.2.3 Technical aspects of D2D communication
232(1)
9.2.4 MM Wave for D2D communication
232(1)
9.2.5 MM Wave communication features
233(2)
9.3 Introduction to wireless body area network (WBAN)
235(5)
9.3.1 Wireless personal area network (WPAN)Avireless local area network (WLAN)
237(1)
9.3.2 WBAN design requirements
238(1)
9.3.3 mmWave in wireless body area network
239(1)
9.4 5G-based internet of medical things (IoMT)
240(3)
9.4.1 IoMT architecture
242(1)
9.5 Open issues
243(2)
9.5.1 Security issues in 5G-D2D-based WBAN
243(1)
9.5.2 Propagation losses in mm Wave communication
243(1)
9.5.3 Impact of mmWave radiations on human health
243(2)
9.6 Conclusion
245(4)
References
245(4)
10 Security and privacy in health data storage and its analytics
249(38)
Lucky Kumar Agrawal
Deepika Agrawal
K. G. Srinivasa
10.1 Introduction
249(2)
10.1.1 Contribution
250(1)
10.1.2 Organization
251(1)
10.2 Data analytic in 5G
251(3)
10.2.1 Application intelligence
252(1)
10.2.2 Network intelligence
252(1)
10.2.3 Phases in data analytic
252(2)
10.3 Tools for analysis
254(1)
10.3.1 Hadoop distributed file system
254(1)
10.3.2 Text mining
254(1)
10.3.3 Complex event processing
254(1)
10.3.4 Hive
254(1)
10.3.5 Jaql
255(1)
10.3.6 Zookeeper
255(1)
10.3.7 Apache solr
255(1)
10.3.8 Lucene
255(1)
10.3.9 Presto
255(1)
10.4 Datastorage
255(7)
10.4.1 Value
255(1)
10.4.2 Variety
256(1)
10.4.3 Velocity
256(1)
10.4.4 Veracity
256(1)
10.4.5 On-premise data storage
256(1)
10.4.6 Cloud storage
256(6)
10.4.7 Hybrid approach
262(1)
10.5 Introduction to security and privacy
262(1)
10.6 Security threats in a wireless communication system
263(3)
10.6.1 Rogue access points
264(1)
10.6.2 Denial of Service (DOS)
264(1)
10.6.3 Configuration problems
264(1)
10.6.4 Passive capturing
264(1)
10.6.5 1G networks
264(1)
10.6.6 2G networks
265(1)
10.6.7 3G networks
265(1)
10.6.8 4G networks
265(1)
10.6.9 5G networks
265(1)
10.7 E2E security solution for 5G
266(1)
10.8 Privacy challenges in 5G networks
266(2)
10.8.1 Loss of data ownership
267(1)
10.8.2 Location of legal disputes
267(1)
10.8.3 Shared environment
267(1)
10.8.4 Hacking
267(1)
10.8.5 Providing information for third party
268(1)
10.9 Privacy solutions for 5G
268(1)
10.9.1 Privacy-aware routing mechanisms by using SDN
268(1)
10.9.2 Hybrid cloud approach
268(1)
10.9.3 Service-oriented privacy preserving, mechanism
269(1)
10.10 Privacy and security concerns in healthcare data
269(2)
10.10.1 Importance of security and privacy in healthcare data
269(1)
10.10.2 Sharing data in cloud
269(1)
10.10.3 Data administration and laws
270(1)
10.10.4 Malware attacks
270(1)
10.10.5 Medical identity theft
270(1)
10.10.6 Social issues
270(1)
10.10.7 Incorrect diagnosis and treatment
270(1)
10.10.8 Denial of valid insurance claims
270(1)
10.10.9 Employment issues
270(1)
10.11 Security of healthcare data
271(8)
10.11.1 EHR storage
271(1)
10.11.2 Malicious code
271(1)
10.11.3 Mobile devices
271(1)
10.11.4 Online systems protection
271(1)
10.11.5 Protected access
272(1)
10.11.6 Healthcare data security life cycle
272(1)
10.11.7 Technologies used for security of healthcare data
273(2)
10.11.8 Access control
275(1)
10.11.9 5GHealthNet
275(1)
10.11.10 Healthchain
276(3)
10.12 Privacy of healthcare data
279(3)
10.12.1 Data protection laws
279(1)
10.12.2 HIPAA Act, Patient Safety and Quality Improvement Act (PSQIA), and HITECH Act
279(1)
10.12.3 IT Act and IT (Amendment) Act
279(1)
10.12.4 Constitution
279(1)
10.12.5 Data Protection Act (DPA)
280(1)
10.12.6 Data protection directive
280(1)
10.12.7 The 09-08 Act, dated 18 February 2009
280(1)
10.12.8 Methods of privacy preservation for healthcare data
280(1)
10.12.9 A privacy framework for healthcare data in cloud computing
281(1)
10.13 Conclusion
282(5)
References
283(4)
11 Artificial intelligence and machine learning techniques for diabetes healthcare
287(28)
Dr. Manjiri Mastoli
Dr. Urmila Pol
Dr. R.V. Kulkarni
Rahul Patil
11.1 Introduction
288(1)
11.1.1 Research contribution
289(1)
11.2 Data science healthcare applications overview
289(1)
11.3 Data science
290(3)
11.3.1 Healthcare management and health informatics
290(1)
11.3.2 Machine learning
291(1)
11.3.3 Deep learning
292(1)
11.4 Diabetes mellitus and its complication
293(2)
11.5 Deep learning model for prediction of diabetes retinopathy
295(5)
11.5.1 Diabetic retinopathy
297(1)
11.5.2 Methodology for deep learning model
297(3)
11.6 Results and discussion
300(1)
11.7 Machine learning model for prediction of diabetes mellitus
301(8)
11.7.1 Description of the dataset
302(1)
11.7.2 Knowledge base designing
303(1)
11.7.3 Knowledge base as a dataset
303(4)
11.7.4 Results and discussion
307(1)
11.7.5 Prediction tests
308(1)
11.8 Conclusion
309(6)
References
310(5)
12 Analytics for data security and privacy in 5G healthcare services
315(32)
K. Rajkumar
U. Hariharan
12.1 Introduction
316(3)
12.2 IoMT security and privacy architecture model
319(5)
12.2.1 Awareness or perception level
320(1)
12.2.2 Communication layer
321(2)
12.2.3 Middleware layer
323(1)
12.2.4 Software or application layer
324(1)
12.3 Suggested taxonomy for IoT-based receptors within the electronic healthcare system domain
324(1)
12.4 Taxonomy of IoT security
325(3)
12.4.1 IoT security risk
326(1)
12.4.2 Prerequisite
326(1)
12.4.3 Institute of Electrical and electronics engineers standards
326(1)
12.4.4 Deployment level
327(1)
12.4.5 Technical knowledge
328(1)
12.5 S-health framework and techniques
328(4)
12.6 Identified issues and solutions
332(3)
12.6.1 Summary of analyzed effort held through this particular research
335(1)
12.7 Open issues and challenges
335(4)
12.8 Conclusions and open research issues in future
339(8)
References
340(7)
13 Contactless attendance system: a healthcare approach to prevent spreading of covid-19
347(28)
Arvind R. Yadav
Jayendra Kumar
Anu Meha
Ayush Kumar Agrawal
Roshan Kumar
13.1 Introduction
348(1)
13.1.1 Traditional attendance system
348(1)
13.1.2 Automated attendance system
348(1)
13.1.3 Motivation
348(1)
13.2 Literature review
349(5)
13.2.1 5G and covid-19 blockchain: value and importance
353(1)
13.3 Proposed system
354(2)
13.3.1 Student and capture image
354(1)
13.3.2 Face detection
355(1)
13.3.3 Cropping of faces
355(1)
13.3.4 Face recognition
356(1)
13.3.5 Database of students' images
356(1)
13.3.6 Record attendance and attendance system
356(1)
13.4 Face detection
356(2)
13.4.1 Object localization
357(1)
13.4.2 Classification with localization
357(1)
13.4.3 Landmark detection
358(1)
13.5 Object detection
358(3)
13.5.1 Training set creation and training
358(1)
13.5.2 Sliding window technique
358(1)
13.5.3 Fully connected layers to convolutional layers
358(1)
13.5.4 Convolution implementation of sliding windows [ 29]
359(1)
13.5.5 Drawing bounding boxes
359(1)
13.5.6 Intersection over Union (IoU)
359(1)
13.5.7 Non-max suppression
360(1)
13.5.8 Anchor boxes
360(1)
13.5.9 Results
361(1)
13.6 Face recognition
361(8)
13.6.1 Introduction
362(1)
13.6.2 Face verification vs. face recognition
362(1)
13.6.3 Processes involved in face recognition
363(1)
13.6.4 One-shot learning problem
363(1)
13.6.5 Recognition model
364(1)
13.6.6 Identifying the model
364(1)
13.6.7 Training the model-triplet loss [ 20]
365(1)
13.6.8 Encoding faces
366(1)
13.6.9 Results
366(2)
13.6.10 Recording attendance
368(1)
13.7 Attendance and visitor management
369(1)
13.7.1 Why change?
369(1)
13.7.2 Intervention
369(1)
13.7.3 Possible demerits
369(1)
13.8 Final takeaways
369(2)
13.8.1 Face detection
370(1)
13.8.2 Image classification and recognition
370(1)
13.8.3 Storage of the attendance date and time
370(1)
13.8.4 Better system with liveness detection
370(1)
13.8.5 Practical usage of the system
370(1)
13.8.6 Online database and user interaction
371(1)
13.8.7 Communicating with the user
371(1)
13.9 Conclusion
371(4)
References
372(3)
14 Blockchain-based smart contracts for e-healthcare management 4.0
375(22)
J. S. Shyam Mohan
S. Ramamoorthy
Harsha Surya Abhishek Kota
Vedantham Hanumath Sreeman
Vanam Venkata Chakradhar
14.1 Introduction
375(4)
14.1.1 Evolution of Health care 1.0 to 4.0
376(1)
14.1.2 Blockchain in health-care applications used for preventing diseases
377(2)
14.2 Related works on blockchain technology in health-care sectors
379(1)
14.3 Blockchain-based health-care and management applications
379(2)
14.4 Benefits of blockchain technology in the health-care industry
381(1)
14.5 Ethereum-system design
382(1)
14.6 5G networks and Ethereum for the health-care sector
383(1)
14.6.1 Challenges in the health-care sector
384(1)
14.7 Real-time examples of Ethereum in the health-care sector
384(1)
14.8 5G networks and smart contracts
384(1)
14.9 Advantages of smart contracts
385(1)
14.10 Choosing the smart contract platform
386(1)
14.11 Applications of smart contracts in health care
386(1)
14.12 Case study-design and architecture
387(1)
14.12.1 Client layer
387(1)
14.12.2 Blockchain layer
387(1)
14.13 System implementation
388(1)
14.13.1 Smart contracts
388(1)
14.13.2 Algorithm
388(1)
14.14 Experimental setup
389(2)
14.14.1 Performance evaluation
390(1)
14.15 Results
391(1)
14.16 Conclusion
392(5)
References
393(4)
15 An amalgamation of blockchain, Internet of Medical Things and 5G technologies for the Healthcare 4.0 ecosystem
397(54)
Desai Karanam Sreekantha
R. V. Kulkarni
15.1 Introduction
398(4)
15.1.1 Motivation and significance for the study
398(1)
15.1.2 Market potential for the health-care industry
398(1)
15.1.3 Overview of blockchain, 5G and IoMT technologies
398(2)
15.1.4 Organization of the chapter
400(1)
15.1.5 Authors' research contribution
401(1)
15.1.6 Taxonomy and acronyms
402(1)
15.2 Review of recent literature
402(23)
15.2.1 Blockchain
403(8)
15.2.2 Survey on web portals and mobile apps literature
411(7)
15.2.3 Healthcare 4.0 ecosystem
418(1)
15.2.4 IoMT survey
418(7)
15.2.5 Comparative analysis of survey papers with specific parameters
425(1)
15.2.6 Findings from literature survey
425(1)
15.3 Architecture of the Healthcare 4.0 ecosystem
425(12)
15.4 Research issues, implementation challenges, and future directions
437(3)
15.4.1 Research issues in IoMT and Healthcare 4.0
437(3)
15.5 A Healthcare 4.0 ecosystem platforms and tools case study
440(3)
15.5.1 Qualcomm Life-Capsule
440(1)
15.5.2 Phillips HealthSuite
441(1)
15.5.3 GDm-Health system for gestational diabetes mellitus
442(1)
15.5.4 Medtronic insulin pump
442(1)
15.5.5 Medtronic carelink
442(1)
15.6 Conclusion
443(8)
References
444(7)
16 Detection of COVID-19 and its symptoms using chest X-rays for health care
451(30)
Jayendra Kumar
Arvind R. Yadav
Anumeha
Shivam Kumar
Anukul Gaurav
16.1 Introduction
451(4)
16.1.1 Motivation
454(1)
16.1.2 Importance of blockchain in 5G and COVID-19
454(1)
16.1.3 Research contributions
455(1)
16.1.4 Organization of the chapter
455(1)
16.2 Objective
455(1)
16.3 Literature review
456(4)
16.3.1 Current methodology
456(3)
16.3.2 Related work
459(1)
16.4 Theoretical background
460(6)
16.4.1 Technologies used
460(6)
16.5 Experimental Analysis
466(7)
16.5.1 Importing the dataset
466(1)
16.5.2 Pre-processing of the data
467(2)
16.5.3 Splitting the training and test data
469(1)
16.5.4 Architecture of CNN
469(3)
16.5.5 Callbacks
472(1)
16.5.6 Fitting model
472(1)
16.5.7 Graphical plot of accuracy and loss function
472(1)
16.6 Results and discussion
473(2)
16.7 Blockchain for integration with 5G networks and handling COVID-19
475(1)
16.8 Research opportunities and open issues
476(1)
16.9 Conclusion and future scope
477(4)
References
477(4)
17 Security and privacy control in 5G-enabled health care using blockchain
481(26)
Rima Patel
Amit Ganatra
Khushi Patel
17.1 Introduction
481(3)
17.1.1 Motivation
484(1)
17.1.2 Contribution
484(1)
17.1.3 Organization
484(1)
17.2 Background theory
484(12)
17.2.1 Smart health care
485(2)
17.2.2 5G
487(1)
17.2.3 5G-enabledSH
487(2)
17.2.4 Blockchain technology
489(2)
17.2.5 Evolution of blockchain
491(3)
17.2.6 Blockchain for 5G-enabled health care
494(2)
17.3 Current issues and challenges in 5G-enabled health care
496(2)
17.3.1 Technological challenges
496(1)
17.3.2 Common challenges
497(1)
17.4 Security and privacy concerns in 5G-enabled health care
498(2)
17.5 Existing blockchain-based security solutions for health care
500(1)
17.5.1 Challenges of blockchain with 5G-enabled SH
501(1)
17.6 Conclusion
501(6)
References
504(3)
18 M2M for health care with blockchain security aspects
507(30)
Kiran Ahuja
Indu Bala
Anand Nayyar
Bandana Mahapatra
18.1 Introduction
507(4)
18.2 State of the art: blockchain and M2M
511(4)
18.2.1 Background of the M2M network
511(1)
18.2.2 Background of blockchain
511(1)
18.2.3 Integration of blockchain and M2M
512(1)
18.2.4 Literature survey/related work
513(2)
18.3 Blockchain for M2M-enabling technologies
515(2)
18.3.1 Communication blockchain design in the public network area
516(1)
18.3.2 Communication blockchain design in the private network area
516(1)
18.4 Challenges and proposed solutions of M2M
517(8)
18.4.1 Physical random access channel (PARCH) overload problem
517(2)
18.4.2 Inefficient radio resource utilization and allocation
519(1)
18.4.3 Clustering techniques
520(3)
18.4.4 QoS provisioning for M2M device communication
523(1)
18.4.5 Cheap price and low power requirements for devices
523(1)
18.4.6 Security and privacy
523(2)
18.5 M2M implementation in health-care-a future direction
525(6)
18.5.1 Predictive maintenance of medical devices by employing M2M
526(1)
18.5.2 Intelligent manufacturing by M2M
526(1)
18.5.3 M2M creates smart hospitals
527(1)
18.5.4 M2M provisions automatic alerting systems
527(1)
18.5.5 Emergency medical services possible via M2M
527(1)
18.5.6 Remote vital sign monitoring from a hospital environment through M2M
527(1)
18.5.7 Post-marketing surveillance of medical devices
527(1)
18.5.8 Security and interoperability in health care
528(2)
18.5.9 Use cases of blockchain-based M2M-enabled health-care applications
530(1)
18.6 Conclusion
531(6)
References
531(6)
Index 537
Sudeep Tanwar is an associate professor in the Department of Computer Science and Engineering at the Institute of Technology of Nirma University, Ahmedabad, India. His research interests include routing issues in WSN, blockchain technology, smart grid, UAV communication, and fog computing.