Blockchain for 5G healthcare applications: security and privacy solutions
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Stevenage
Institution of Engineering and Technology
2022
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| Schriftenreihe: | IET book series on e-health technologies
35 ; 35 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xxviii, 552 Seiten Illustrationen, Diagramme 24 cm |
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| 245 | 1 | 0 | |a Blockchain for 5G healthcare applications |b security and privacy solutions |c edited by Sudeep Tanwar |
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Datensatz im Suchindex
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| adam_text | Contents About the Editor Preface 1 Security and privacy requirements in 5G healthcare Nagendra Singh and Yogendra kumar 1.1 Introduction 1.1.1 How will 5G affect health-care system? 1.1.2 Integration of blockchain, 5G and healthcare 1.1.3 Contributions of this chapter 1.1.4 Motivation 1.2 Related work 1.2.1 Research gap 1.3 Challenges associated with the present healthcaresystem 1.3.1 Challenges with health records 1.3.2 Universal access limitations 1.3.3 Long-term constant care burden 1.3.4 Challenges for aging populations 1.3.5 Limitation of the resources 1.3.6 Problems associated with healthcare information systems 1.3.7 Lack of data driven 1.3.8 Healthcare disparities 1.3.9 Standardization and interoperability 1.3.10 Effective regulation 1.3.11 Data privacy and research needs 1.4 5G technology 1.4.1 Millimeter waves 1.4.2 Small cells 1.4.3 Big multiple input/output system 1.4.4 Beamforming 1.4.5 Full duplex 1.4.6 Software-defined networks 1.5 Technical challenges and the path to 5G 1.5.1 Trust management xxi xxiii 1 2 5 8 10 10 10 10 11 11 11 11 12 12 13 13 13 14 14 14 14 16 16 17 17 17 18 18 19
vi Blockchainfor 5G healthcare applications: security andprivacy solutions 19 19 19 20 20 21 21 21 22 22 22 23 23 27 27 29 30 1.5.2 Encryption method 1.5.3 Access control 1.5.4 Privacy 1.6 Security and privacy 1.6.1 Authentication 1.6.2 Confidentiality 1.6.3 Availability 1.6.4 Integrity 1.7 5G and healthcare opportunities 1.7.1 Fast and intelligent networks 1.7.2 Back-end services 1.7.3 Low latency 1.7.4 Applications of 5G in healthcare 1.7.5 Impact of 5G on medical access, quality, and cost 1.7.6 The impact of 5G on healthcare 1.8 Conclusions References 2 Ethical and legal aspects of using blockchain technology for 5G-based health-care systems Shashank Srivastava, Richesh Gupta, Prateek Pandey, and Ratnesh Litoriya 2.1 Introduction 2.1.1 Research contribution 2.1.2 Motivation 2.1.3 Organization 2.2 Blockchain technology and 5G inhealthcare 2.2.1 Edge computing 2.2.2 Augmented and virtual reality 2.2.3 Ambulance drones 2.2.4 5G on mobile app development 2.3 Issues of privacy and security 2.4 Security spectrum of 5G-enabled devices 2.4.1 Privacy 2.4.2 Transparency 2.4.3 No single point of failure 2.5 Key issues and stakeholders 2.5.1 Tweaking of loT devices 2.5.2 No protocol right now to govern them all 2.5.3 Blockchain owning 2.5.4 Energy inefficiency 2.5.5 High-altitude limitations 2.5.6 Man-in-the-middle attack 2.6 Trust and regulations 35 36 36 37 37 37 38 38 39 39 39 41 42 42 42 42 42 43 43 44 44 44 44
Contents 2.7 Regulatory bodies and the role of the government 2.8 Future challenges 2.8.1 Cost 2.8.2 Infrastructure 2.8.3 Security and privacy 2.8.4 Frequency bands 2.8.5 Training and education challenges 2.9 Conclusion References 3 Blockchain-based 5G-enabIed health-care system: an analysis of security and privacy issues Shweta Kaushik vii 45 45 46 46 46 46 47 47 47 53 Introduction 3.1.1 Blockchain 3.1.2 Types of blockchain 3.1.3 5G technology 3.1.4 Healthcare 3.2 Blockchain integration with 5G 3.2.1 Blockchain for 5G advancements 3.3 Need of blockchain in healthcare 3.4 Blockchain-based health-care system 3.5 Security and privacy properties requirements in healthcare 3.6 Security and privacy techniques 3.7 Healthcare-based application in blockchain 3.8 Conclusion References 54 54 56 57 58 61 62 62 65 67 72 76 79 79 4 Enhanced blockchain technology associated with loT for secure and privacy communications in 5G T SArulananth, Dr Baskar Μ, Dr Ramkumar J, and К Srinivas Rao 83 3.1 4.1 4.2 4.3 Introduction Design process of blockchain-basedsystems loT - with 5G and blockchain 4.3.1 Requirements of loT 4.3.2 Benefits of 5G 4.3.3 Impact of blockchain technology on digital commerce 4.3.4 Impact of blockchain on loT 4.4 5G technology for greater connectivity 4.4.1 Mobile payment networks to worldwide communication 4.4.2 How blockchain and 5G help secure versatile banking 4.4.3 How will 5G WiFi enhance blockchain-based crypto assets? 4.4.4 Scaling of blockchain functionality by 5G 4.4.5 5G for boosting keen agreements credibility 84 86 87 88 89 89 89 90 90 90 91 92 92
viii Blockchainfor 5G healthcare applications: security andprivacy solutions How 5G will increase network volume for blockchain improvement? 4.4.7 Will 5G bargain blockchain innovation’s latent capacities? 4.5 5G-based blockchain distributed ledger technology 4.6 Secure mobile banking using 5G and blockchain 4.7 5G benefits to blockchain and crypto users 4.7.1 5G affect on revolutionizing blockchain 4.7.2 How 5G authorizes smart contracts 4.8 Blockchain in defense to secure communications 4.9 Key issues in blockchain in communications 4.10 5G challenges facing deployment 4.11 New opportunities for 5G applications 4.12 Blockchain works to secure communications 4.12.1 Centralized, distributed, and decentralization networking 4.12.2 Coding modern coding is furthermore 4.12.3 Vulnerabilities in existing communications protocols 4.12.4 Weaknesses in packetization 4.12.5 Securing community packets with blockchain 4.12.6 Weaknesses in net protocol addresses 4.12.7 Protecting IP addresses with decentralized communications 4.13 Propose framework along with blockchain technology 4.14 Case study 4.15 Chapter summary and conclusions References 4.4.6 5 5G-driven radio framework for proficient smart health-care institutions Himanshu Sharma, Mahmoud A MAlbreem, and Arun Kumar 5.1 Introduction 5.2 Motivation and contribution 5.3 Waveform techniques for 5G 5.3.1 OFDM 5.3.2 FBMC 5.3.3 NOMA 5.3.4 UFMC 5.4 Detection systems 5.4.1 ZF 5.4.2 MMSE scheme 5.4.3 Beamforming 5.5 Simulation results 92 93 93 94 94 95 96 97 98 99 103 103 103 104 104 104 105 105 106 106 107 108 109 115 116 117 118 118
119 120 121 122 122 123 124 125
Contents 5.6 Case studies 5.7 Conclusion References ix 126 127 128 6 Traditional vs. the blockchain-based architecture of 5G healthcare Khalimjon Khujamatov, NurshodAkhmedov, Ernazar Reypnazarov, and Doston Khasanov 6.1 Introduction 6.1.1 Motivations 6.1.2 Structure of the chapter 6.2 5G-based smart healthcare industry: challenges, benefits, and use cases 6.2.1 5G healthcare challenges 6.2.2 5G Healthcare benefits 6.2.3 5G Healthcare use cases 6.3 Traditional 5G healthcare architecture 6.3.1 5G Healthcare overall architecture 6.3.2 5G Healthcare infrastructure architecture 6.3.3 5G Healthcare RAN architecture 6.3.4 5G Healthcare core network architecture 6.4 Blockchain-based 5G healthcare architecture 6.4.1 Blockchain 6.4.2 The components of a blockchain 6.4.3 The components of blockchain block 6.4.4 The blockchain-based architecture of 5G healthcare 6.5 Comparative analysis: traditional vs. blockchain-based architecture of 5G healthcare. 6.5.1 Healthcare requirements 6.5.2 5G opportunities for healthcare requirements 6.5.3 Blockchain opportunities for healthcare requirements 6.5.4 Blockchain to support 5Ghealthcare architecture functions 6.5.5 Blockchain-based 5G healthcare architecture use cases 6.6 Conclusion References 7 Integrating blockchain technology in 5G-enabIed smart healthcare: A SWOT Analysis S Sridevi, G R Karpagam, В Vinoth Kumar, and J Uma Maheswari 7.1 Introduction 7.1.1 Motivation of the chapter 7.1.2 Contribution of the chapter 131 131 132 132 134 135 136 137 138 139 140 142 143 143 145 146 147 148 154 154 156 158 159 162 163 164 169 170 172 172
x Blockchain for 5G healthcare applications: security andprivacy solutions 7.1.3 Organization of the chapter 7.2 Overview of blockchain technology 7.2.1 Blockchain structure 7.2.2 Key characteristics of blockchain 7.2.3 Applications ofblockchain in healthcare 7.3 Overview of 5G networks 7.3.1 Relevance of 5G in the healthcare sector 7.3.2 Performance driving with 5G 7.3.3 Advance features of 5G technology 7.3.4 Potential applications of 5G technologies 7.4 Potentials of integrating blockchain and 5G technology 7.5 Perceptual overview of integrating blockchain and 5G technology in the healthcare sector 187 7.5.1 Challenges of incorporating 5G and blockchain in the healthcare sector 188 7.6 Use case scenario 7.6.1 Characteristics of mobile application interactions between 5G and blockchain technology for serving the patient requirement 191 7.6.2 Challenges arise in mobile application interactions between 5G and blockchain technology for serving the patient requirement. 192 7.7 SWOT analysis of incorporating blockchain and 5G technologies in the Healthcare sector 7.8 Conclusion References 172 172 173 174 175 177 179 179 181 182 182 190 192 192 194 8 Architectural framework of 5G-based smart healthcare system using blockchain technology 197 Μ. Kiruthika, Vaishali Gupta, T Poongodi, and B. Balamurugan 8.1 Introduction 8.1.1 Overview of blockchain for healthcare 8.1.2 Need for 5G 8.1.3 Implication of 5G in healthcare 8.2 Traditional architecture - SHS using blockchain 8.2.1 Basic architecture of SHS 8.2.2 Architectural structure ofblockchain 8.2.3 SHS architecture using
blockchain 8.3 5G-based smart healthcarearchitecture using blockchain 8.3.1 Introduction 8.3.2 Smart healthcare 8.3.3 Design objectives of SHS 8.3.4 5G for SHS 197 198 199 200 202 202 204 207 208 208 209 210 211
Contents 8.3.5 Blockchain in smart healthcare 8.3.6 5G-based architecture for SHS using blockchain 8.3.7 Smart health devices and their significance 8.4 Privacy and security in 5G-based SHS 8.5 Advantages of 5G-based architecture in SHS 8.6 Open research issues and challenges References 9 Application of millimeter wave (mm-Wave)-based device-to-device (D2D) communication in 5G healthcare Anant Sinha, Sachin Kumar, and Pooja Khanna 9.1 Introduction 9.1.1 5G: features 9.2 Introduction to D2D communication technology 9.2.1 D2D-assisted cellular communication 9.2.2 D2D communication in LTE advanced 9.2.3 Technical aspects of D2D communication 9.2.4 mmWave for D2D communication 9.2.5 mmWave communication features 9.3 Introduction to wireless body area network (WBAN) 9.3.1 Wireless personal area network (WPAN)/wireless local area network (WLAN) 9.3.2 WBAN design requirements 9.3.3 mmWave in wireless body area network 9.4 5G-based internet of medical things (loMT) 9.4.1 loMT architecture 9.5 Open issues 9.5.1 Security issues in 5G-D2D-based WBAN 9.5.2 Propagation losses in mmWave communication 9.5.3 Impact of mmWave radiations on human health 9.6 Conclusion References 10 Security and privacy in health data storage and its analytics Lucky Kumar Agrawal, Deepika Agrawal, and Srinivasa K G 10.1 Introduction 10.1.1 Contribution 10.1.2 Organization 10.2 Data analytic in 5G 10.2.1 Application intelligence 10.2.2 Network intelligence 10.2.3 Phases in data analytic 10.3 Tools for analysis 10.3.1 Hadoop distributed filesystem xi 215 215 216 218 218 220 221 227 228 228 229 230 231 232 232
233 235 237 238 239 240 242 243 243 243 243 245 245 249 249 250 251 251 252 252 252 254 254
xii Blockchainfor 5G healthcare applications: security andprivacy solutions 10.3.2 Text mining 10.3.3 Complex event processing 10.3.4 Hive 10.3.5 Jaql 10.3.6 Zookeeper 10.3.7 Apache soir 10.3.8 Lucene 10.3.9 Presto 10.4 Data storage 10.4.1 Value 10.4.2 Variety 10.4.3 Velocity 10.4.4 Veracity 10.4.5 On-premise data storage 10.4.6 Cloud storage 10.4.7 Hybrid approach 10.5 Introduction to security and privacy 10.6 Security threats in a wireless communication system 10.6.1 Rogue access points 10.6.2 Denial of Service (DOS) 10.6.3 Configuration problems 10.6.4 Passive capturing 10.6.5 1G networks 10.6.6 2G networks 10.6.7 3G networks 10.6.8 4G networks 10.6.9 5G networks 10.7 E2E security solution for 5G 10.8 Privacy challenges in 5G networks 10.8.1 Loss of data ownership 10.8.2 Location of legal disputes 10.8.3 Shared environment 10.8.4 Hacking 10.8.5 Providing information for third party 10.9 Privacy solutions for 5G 10.9.1 Privacy-aware routing mechanisms by using SDN 10.9.2 Hybrid cloud approach 10.9.3 Service-oriented privacy preserving, mechanism 10.10 Privacy and security concerns in healthcare data 10.10.1 Importance of security and privacy in healthcare data 10.10.2 Sharing data in cloud 10.10.3 Data administration and laws 10.10.4 Malware attacks 10.10.5 Medical identity theft 10.10.6 Social issues 254 254 254 255 255 255 255 255 255 255 256 256 256 256 256 262 262 263 264 264 264 264 264 265 265 265 265 266 266 267 267 267 267 268 268 268 268 269 269 269 269 270 270 270 270
Contents xiii 10.10.7 Incorrect diagnosis and treatment 10.10.8 Denial of valid insurance claims 10.10.9 Employment issues 10.11 Security of healthcare data 10.11.1 EHR storage 10.11.2 Malicious code 10.11.3 Mobile devices 10.11.4 Online systems protection 10.11.5 Protected access 10.11.6 Healthcare data security life cycle 10.11.7 Technologies used for security of healthcare data 10.11.8 Access control 10.11.9 5GHealthNet 10.11.10 Healthchain 10.12 Privacy of healthcare data 10.12.1 Data protection laws 10.12.2 HIPAA Act, Patient Safety and Quality Improvement Act (PSQIA), and HITECH Act 10.12.3 IT Act and IT (Amendment) Act 10.12.4 Constitution 10.12.5 Data Protection Act (DPA) 10.12.6 Data protection directive 10.12.7 The 09-08 Act, dated 18 February 2009 10.12.8 Methods of privacy preservation for healthcare data 10.12.9 A privacy framework for healthcare data in cloud computing 10.13 Conclusion References 270 270 270 271 271 271 271 271 272 272 273 275 275 276 279 279 279 279 279 280 280 280 280 281 282 283 11 Artificial intelligence and machine learning techniques for diabetes healthcare 287 Dr Mânjiri Mastoli, Dr Urmila Pol, Dr.R. V. Kulkarni, and Rahul Patil 11.1 11.2 11.3 11.4 11.5 11.6 Introduction 11.1.1 Research contribution Data science healthcare applications overview Data science 11.3.1 Healthcare management and health informatics 11.3.2 Machine learning 11.3.3 Deep learning Diabetes mellitus and its complication Deep learning mode) for prediction of diabetes retinopathy 11.5.1 Diabetic retinopathy 11.5.2 Methodology for deep learning model Results and
discussion 288 289 289 290 290 291 292 293 295 297 297 300
xiv Blockchain for 5G healthcare applications: security andprivacy solutions Machine learning model for predictionof diabetes mellitus 11.7.1 Description of the dataset 11.7.2 Knowledge base designing 11.7.3 Knowledge base as a dataset 11.7.4 Results and discussion 11.7.5 Prediction tests 11.8 Conclusion References 301 302 303 303 307 308 309 310 12 Analytics for data security and privacy in 5G healthcare services К Rajkumar and U Hariharan 315 11.7 12.1 Introduction 12.2 loMT security and privacy architecture model 12.2.1 Awareness or perception level 12.2.2 Communication layer 12.2.3 Middleware layer 12.2.4 Software or application layer 12.3 Suggested taxonomy for IoT-based receptors within the electronic healthcare system domain 12.4 Taxonomy of loT security 12.4.1 loT security risk 12.4.2 Prerequisite 12.4.3 Institute of Electrical and electronics engineers standards 12.4.4 Deployment level 12.4.5 Technical knowledge 12.5 S-health framework and techniques 12.6 Identified issues and solutions 12.6.1 Summary of analyzed effort held through this particular research 12.7 Open issues and challenges 12.8 Conclusions and open research issues in future References 13 Contactless attendance system: a healthcare approach to prevent spreading of covid-19 Arvind R Yadav, Jayendra Kumar, Anu meha, Ayush Kumar Agrawal, and Roshan Kumar Introduction 13.1.1 Traditional attendance system 13.1.2 Automated attendance system 13.1.3 Motivation 13.2 Literature review 13.1 316 319 320 321 323 324 324 325 326 326 326 327 328 328 332 335 335 339 340 347 348 348 348 348 349
Contents 13.3 13.4 13.5 13.6 13.7 13.8 13.2.1 5G and covid-19 blockchain: value and importance Proposed system Student and capture image 13.3.1 Face detection 13.3.2 Cropping of faces 13.3.3 13.3.4 Face recognition 13.3.5 Database of students’ images 13.3.6 Record attendance and attendance system Face detection 13.4.1 Object localization 13.4.2 Classification with localization Landmark detection 13.4.3 Object detection Training set creation and training 13.5.1 Sliding window technique 13.5.2 13.5.3 Fully connected layers to convolutional layers 13.5.4 Convolution implementation of sliding windows [29] 13.5.5 Drawing bounding boxes Intersection over Union (loU) 13.5.6 13.5.7 Non-max suppression Anchor boxes 13.5.8 Results 13.5.9 Face recognition 13.6.1 Introduction 13.6.2 Face verification vs. face recognition 13.6.3 Processes involved in face recognition 13.6.4 One-shot learning problem Recognition model 13.6.5 Identifying the model 13.6.6 Training the model ֊ triplet loss [20] 13.6.7 Encoding faces 13.6.8 13.6.9 Results 13.6.10 Recording attendance Attendance and visitor management 13.7.1 Why change? Intervention 13.7.2 13.7.3 Possible demerits Final takeaways 13.8.1 Face detection Image classification and recognition 13.8.2 Storage of the attendance date and time 13.8.3 Better system with liveness detection 13.8.4 Practical usage of the system 13.8.5 XV 353 354 354 355 355 356 356 356 356 357 357 358 358 358 358 358 359 359 359 360 360 361 361 362 362 363 363 364 364 365 366 366 368 369 369 369 369 369 370 370 370 370 370
xvi Blockchain for 5G healthcare applications: security and privacy solutions 13.8.6 Online database and user interaction 13.8.7 Communicating with the user 13.9 Conclusion References 14 Blockchain-based smart contracts for e-healthcare management 4.0 J S Shyam Mohan, Ramamoorthy S, Harsha Surya Abhishek Kota, Vedantham Hanumath Sreeman, and Vanam Venkata Chakradhar 14.1 Introduction 14.1.1 Evolution of Health care 1.0 to 4.0 14.1.2 Blockchain in health-care applications used for preventing diseases 377 14.2 Related works on blockchain technology in health-care sectors 14.3 Blockchain-based health-care and management applications 14.4 Benefits of blockchain technology in the health-care industry 14.5 Ethereum - system design 14.6 5G networks and Ethereum for the health-care sector 14.6.1 Challenges in the health-care sector 14.7 Real-time examples of Ethereum in the health-care sector 14.8 5G networks and smart contracts 14.9 Advantages of smart contracts 14.10 Choosing the smart contract platform 14.11 Applications of smart contracts in health care 14.12 Case study - design and architecture 14.12.1 Client layer 14.12.2 Blockchain layer 14.13 System implementation 14.13.1 Smart contracts 14.13.2 Algorithm 14.14 Experimental setup 14.14.1 Performance evaluation 14.15 Results 14.16 Conclusion References 15 An amalgamation of blockchain, Internet of Medical Things and 5G technologies for the Healthcare 4.0 ecosystem Desai Karanam Sreekantha and R. VKulkarni 15.1 Introduction 15.1.1 Motivation and significance for the study 15.1.2 Market potential for the health-care industry
15.1.3 Overview of blockchain, 5G and loMT technologies 15.1.4 Organization of the chapter 15.1.5 Authors’research contribution 371 371 371 372 375 375 376 379 379 381 382 383 384 384 384 385 386 386 387 387 387 388 388 388 389 390 391 392 393 397 398 398 398 398 400 401
Contents 15.1.6 Taxonomy and acronyms Review of recent literature 15.2.1 Blockchain 15.2.2 Survey on web portals and mobile apps literature 15.2.3 Healthcare 4.0 ecosystem 15.2.4 loMT survey 15.2.5 Comparative analysis of survey papers with specific parameters 15.2.6 Findings from literature survey 15.3 Architecture of the Healthcare 4.0 ecosystem 15.4 Research issues, implementation challenges, and future directions 15.4.1 Research issues in loMT and Healthcare 4.0 15.5 A Healthcare 4.0 ecosystem platforms and tools case study 15.5.1 Qualcomm Life - Capsule 15.5.2 Phillips HealthSuite 15.5.3 GDm-Health system for gestational diabetes mellitus 15.5.4 Medtronic insulin pump 15.5.5 Medtronic carelink 15.6 Conclusion References xvii 402 402 403 411 418 418 15.2 16 Detection of COVID-19 and its symptoms using chest X-rays for health care Jayendra Kumar, Arvind R. Yadav, Anumeha, Shivam Kumar, and Anukul Gaurav Introduction Motivation 16.1.1 16.1.2 Importance of blockchain in 5G and COVID-19 16.1.3 Research contributions 16.1.4 Organization of the chapter 16.2 Objective 16.3 Literature review 16.3.1 Current methodology 16.3.2 Related work 16.4 Theoretical background 16.4.1 Technologies used 16.5 Experimental Analysis 16.5.1 Importing the dataset 16.5.2 Pre-processing of the data 16.5.3 Splitting the training and test data 16.5.4 Architecture of CNN 16.5.5 Callbacks Fitting model 16.5.6 16.5.7 Graphical plot of accuracy and loss function 16.1 425 425 425 437 437 440 440 441 442 442 442 443 444 451 451 454 454 455 455 455 456 456 459 460 460 466 466 467 469 469 472 472 472
xviii Blockchain for 5G healthcare applications: security andprivacy solutions 16.6 Results and discussion 16.7 Blockchain for integration with 5G networks and handling COVID-19 16.8 Research opportunitiesand open issues 16.9 Conclusion and future scope References 17 Security and privacy control in 5G-enabled health care using blockchain Rima Patel, Amit Ganatra, and Khushi Patel 17.1 Introduction 17.1.1 Motivation 17.1.2 Contribution 17.1.3 Organization 17.2 Background theory 17.2.1 Smart health care 17.2.2 5G 17.2.3 5G֊enabledSH 17.2.4 Blockchain technology 17.2.5 Evolution of blockchain 17.2.6 Blockchain for 5G-enabled health care 17.3 Current issues and challenges in 5G-enabled health care 17.3.1 Technological challenges 17.3.2 Common challenges 17.4 Security and privacy concerns in 5G-enabled health care 17.5 Existing blockchain-based security solutions for health care 17.5.1 Challenges of blockchain with 5G-enabled SH 17.6 Conclusion References 18 M2M for health care with blockchain security aspects Kiran Ahuja, Indu Bala, Anand Nayyar, and Bandana Mahapatra 18.1 Introduction 18.2 State of the art: blockchain and M2M 18.2.1 Background of the M2M network 18.2.2 Background of blockchain 18.2.3 Integration of blockchain and M2M 18.2.4 Literature survey/related work 18.3 Blockchain for M2M-enabling technologies 18.3.1 Communication blockchain design in the public network area 18.3.2 Communication blockchain design in the private network area 516 473 475 476 477 477 481 481 484 484 484 484 485 487 487 489 491 494 496 496 497 498 500 501 501 504 507 507 511 511 511 512 513
515 516
Contents xix Challenges and proposed solutions of M2M 517 18.4.1 Physical random access channel (PARCH) overload problem 517 18.4.2 Inefficient radio resource utilization and allocation 519 18.4.3 Clustering techniques 520 18.4.4 QoS provisioning for M2M device communication 523 18.4.5 Cheap price and low power requirements for devices 523 18.4.6 Security and privacy 523 18.5 M2M implementation in health-care - a future direction 525 18.5.1 Predictive maintenance of medical devices by employing M2M 526 18.5.2 Intelligent manufacturing by M2M 526 18.5.3 M2M creates smart hospitals 527 18.5.4 M2M provisions automatic alerting systems 527 18.5.5 Emergency medical services possible via M2M 527 18.5.6 Remote vital sign monitoring from a hospital environment through M2M 527 18.5.7 Post-marketing surveillance of medical devices 527 18.5.8 Security and interoperability in health care 528 18.5.9 Use cases of blockchain-based M2M-enabled health-care applications 530 18.6 Conclusion 531 References 531 18.4 Index 537
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Contents About the Editor Preface 1 Security and privacy requirements in 5G healthcare Nagendra Singh and Yogendra kumar 1.1 Introduction 1.1.1 How will 5G affect health-care system? 1.1.2 Integration of blockchain, 5G and healthcare 1.1.3 Contributions of this chapter 1.1.4 Motivation 1.2 Related work 1.2.1 Research gap 1.3 Challenges associated with the present healthcaresystem 1.3.1 Challenges with health records 1.3.2 Universal access limitations 1.3.3 Long-term constant care burden 1.3.4 Challenges for aging populations 1.3.5 Limitation of the resources 1.3.6 Problems associated with healthcare information systems 1.3.7 Lack of data driven 1.3.8 Healthcare disparities 1.3.9 Standardization and interoperability 1.3.10 Effective regulation 1.3.11 Data privacy and research needs 1.4 5G technology 1.4.1 Millimeter waves 1.4.2 Small cells 1.4.3 Big multiple input/output system 1.4.4 Beamforming 1.4.5 Full duplex 1.4.6 Software-defined networks 1.5 Technical challenges and the path to 5G 1.5.1 Trust management xxi xxiii 1 2 5 8 10 10 10 10 11 11 11 11 12 12 13 13 13 14 14 14 14 16 16 17 17 17 18 18 19
vi Blockchainfor 5G healthcare applications: security andprivacy solutions 19 19 19 20 20 21 21 21 22 22 22 23 23 27 27 29 30 1.5.2 Encryption method 1.5.3 Access control 1.5.4 Privacy 1.6 Security and privacy 1.6.1 Authentication 1.6.2 Confidentiality 1.6.3 Availability 1.6.4 Integrity 1.7 5G and healthcare opportunities 1.7.1 Fast and intelligent networks 1.7.2 Back-end services 1.7.3 Low latency 1.7.4 Applications of 5G in healthcare 1.7.5 Impact of 5G on medical access, quality, and cost 1.7.6 The impact of 5G on healthcare 1.8 Conclusions References 2 Ethical and legal aspects of using blockchain technology for 5G-based health-care systems Shashank Srivastava, Richesh Gupta, Prateek Pandey, and Ratnesh Litoriya 2.1 Introduction 2.1.1 Research contribution 2.1.2 Motivation 2.1.3 Organization 2.2 Blockchain technology and 5G inhealthcare 2.2.1 Edge computing 2.2.2 Augmented and virtual reality 2.2.3 Ambulance drones 2.2.4 5G on mobile app development 2.3 Issues of privacy and security 2.4 Security spectrum of 5G-enabled devices 2.4.1 Privacy 2.4.2 Transparency 2.4.3 No single point of failure 2.5 Key issues and stakeholders 2.5.1 Tweaking of loT devices 2.5.2 No protocol right now to govern them all 2.5.3 Blockchain owning 2.5.4 Energy inefficiency 2.5.5 High-altitude limitations 2.5.6 Man-in-the-middle attack 2.6 Trust and regulations 35 36 36 37 37 37 38 38 39 39 39 41 42 42 42 42 42 43 43 44 44 44 44
Contents 2.7 Regulatory bodies and the role of the government 2.8 Future challenges 2.8.1 Cost 2.8.2 Infrastructure 2.8.3 Security and privacy 2.8.4 Frequency bands 2.8.5 Training and education challenges 2.9 Conclusion References 3 Blockchain-based 5G-enabIed health-care system: an analysis of security and privacy issues Shweta Kaushik vii 45 45 46 46 46 46 47 47 47 53 Introduction 3.1.1 Blockchain 3.1.2 Types of blockchain 3.1.3 5G technology 3.1.4 Healthcare 3.2 Blockchain integration with 5G 3.2.1 Blockchain for 5G advancements 3.3 Need of blockchain in healthcare 3.4 Blockchain-based health-care system 3.5 Security and privacy properties requirements in healthcare 3.6 Security and privacy techniques 3.7 Healthcare-based application in blockchain 3.8 Conclusion References 54 54 56 57 58 61 62 62 65 67 72 76 79 79 4 Enhanced blockchain technology associated with loT for secure and privacy communications in 5G T SArulananth, Dr Baskar Μ, Dr Ramkumar J, and К Srinivas Rao 83 3.1 4.1 4.2 4.3 Introduction Design process of blockchain-basedsystems loT - with 5G and blockchain 4.3.1 Requirements of loT 4.3.2 Benefits of 5G 4.3.3 Impact of blockchain technology on digital commerce 4.3.4 Impact of blockchain on loT 4.4 5G technology for greater connectivity 4.4.1 Mobile payment networks to worldwide communication 4.4.2 How blockchain and 5G help secure versatile banking 4.4.3 How will 5G WiFi enhance blockchain-based crypto assets? 4.4.4 Scaling of blockchain functionality by 5G 4.4.5 5G for boosting keen agreements credibility 84 86 87 88 89 89 89 90 90 90 91 92 92
viii Blockchainfor 5G healthcare applications: security andprivacy solutions How 5G will increase network volume for blockchain improvement? 4.4.7 Will 5G bargain blockchain innovation’s latent capacities? 4.5 5G-based blockchain distributed ledger technology 4.6 Secure mobile banking using 5G and blockchain 4.7 5G benefits to blockchain and crypto users 4.7.1 5G affect on revolutionizing blockchain 4.7.2 How 5G authorizes smart contracts 4.8 Blockchain in defense to secure communications 4.9 Key issues in blockchain in communications 4.10 5G challenges facing deployment 4.11 New opportunities for 5G applications 4.12 Blockchain works to secure communications 4.12.1 Centralized, distributed, and decentralization networking 4.12.2 Coding modern coding is furthermore 4.12.3 Vulnerabilities in existing communications protocols 4.12.4 Weaknesses in packetization 4.12.5 Securing community packets with blockchain 4.12.6 Weaknesses in net protocol addresses 4.12.7 Protecting IP addresses with decentralized communications 4.13 Propose framework along with blockchain technology 4.14 Case study 4.15 Chapter summary and conclusions References 4.4.6 5 5G-driven radio framework for proficient smart health-care institutions Himanshu Sharma, Mahmoud A MAlbreem, and Arun Kumar 5.1 Introduction 5.2 Motivation and contribution 5.3 Waveform techniques for 5G 5.3.1 OFDM 5.3.2 FBMC 5.3.3 NOMA 5.3.4 UFMC 5.4 Detection systems 5.4.1 ZF 5.4.2 MMSE scheme 5.4.3 Beamforming 5.5 Simulation results 92 93 93 94 94 95 96 97 98 99 103 103 103 104 104 104 105 105 106 106 107 108 109 115 116 117 118 118
119 120 121 122 122 123 124 125
Contents 5.6 Case studies 5.7 Conclusion References ix 126 127 128 6 Traditional vs. the blockchain-based architecture of 5G healthcare Khalimjon Khujamatov, NurshodAkhmedov, Ernazar Reypnazarov, and Doston Khasanov 6.1 Introduction 6.1.1 Motivations 6.1.2 Structure of the chapter 6.2 5G-based smart healthcare industry: challenges, benefits, and use cases 6.2.1 5G healthcare challenges 6.2.2 5G Healthcare benefits 6.2.3 5G Healthcare use cases 6.3 Traditional 5G healthcare architecture 6.3.1 5G Healthcare overall architecture 6.3.2 5G Healthcare infrastructure architecture 6.3.3 5G Healthcare RAN architecture 6.3.4 5G Healthcare core network architecture 6.4 Blockchain-based 5G healthcare architecture 6.4.1 Blockchain 6.4.2 The components of a blockchain 6.4.3 The components of blockchain block 6.4.4 The blockchain-based architecture of 5G healthcare 6.5 Comparative analysis: traditional vs. blockchain-based architecture of 5G healthcare. 6.5.1 Healthcare requirements 6.5.2 5G opportunities for healthcare requirements 6.5.3 Blockchain opportunities for healthcare requirements 6.5.4 Blockchain to support 5Ghealthcare architecture functions 6.5.5 Blockchain-based 5G healthcare architecture use cases 6.6 Conclusion References 7 Integrating blockchain technology in 5G-enabIed smart healthcare: A SWOT Analysis S Sridevi, G R Karpagam, В Vinoth Kumar, and J Uma Maheswari 7.1 Introduction 7.1.1 Motivation of the chapter 7.1.2 Contribution of the chapter 131 131 132 132 134 135 136 137 138 139 140 142 143 143 145 146 147 148 154 154 156 158 159 162 163 164 169 170 172 172
x Blockchain for 5G healthcare applications: security andprivacy solutions 7.1.3 Organization of the chapter 7.2 Overview of blockchain technology 7.2.1 Blockchain structure 7.2.2 Key characteristics of blockchain 7.2.3 Applications ofblockchain in healthcare 7.3 Overview of 5G networks 7.3.1 Relevance of 5G in the healthcare sector 7.3.2 Performance driving with 5G 7.3.3 Advance features of 5G technology 7.3.4 Potential applications of 5G technologies 7.4 Potentials of integrating blockchain and 5G technology 7.5 Perceptual overview of integrating blockchain and 5G technology in the healthcare sector 187 7.5.1 Challenges of incorporating 5G and blockchain in the healthcare sector 188 7.6 Use case scenario 7.6.1 Characteristics of mobile application interactions between 5G and blockchain technology for serving the patient requirement 191 7.6.2 Challenges arise in mobile application interactions between 5G and blockchain technology for serving the patient requirement. 192 7.7 SWOT analysis of incorporating blockchain and 5G technologies in the Healthcare sector 7.8 Conclusion References 172 172 173 174 175 177 179 179 181 182 182 190 192 192 194 8 Architectural framework of 5G-based smart healthcare system using blockchain technology 197 Μ. Kiruthika, Vaishali Gupta, T Poongodi, and B. Balamurugan 8.1 Introduction 8.1.1 Overview of blockchain for healthcare 8.1.2 Need for 5G 8.1.3 Implication of 5G in healthcare 8.2 Traditional architecture - SHS using blockchain 8.2.1 Basic architecture of SHS 8.2.2 Architectural structure ofblockchain 8.2.3 SHS architecture using
blockchain 8.3 5G-based smart healthcarearchitecture using blockchain 8.3.1 Introduction 8.3.2 Smart healthcare 8.3.3 Design objectives of SHS 8.3.4 5G for SHS 197 198 199 200 202 202 204 207 208 208 209 210 211
Contents 8.3.5 Blockchain in smart healthcare 8.3.6 5G-based architecture for SHS using blockchain 8.3.7 Smart health devices and their significance 8.4 Privacy and security in 5G-based SHS 8.5 Advantages of 5G-based architecture in SHS 8.6 Open research issues and challenges References 9 Application of millimeter wave (mm-Wave)-based device-to-device (D2D) communication in 5G healthcare Anant Sinha, Sachin Kumar, and Pooja Khanna 9.1 Introduction 9.1.1 5G: features 9.2 Introduction to D2D communication technology 9.2.1 D2D-assisted cellular communication 9.2.2 D2D communication in LTE advanced 9.2.3 Technical aspects of D2D communication 9.2.4 mmWave for D2D communication 9.2.5 mmWave communication features 9.3 Introduction to wireless body area network (WBAN) 9.3.1 Wireless personal area network (WPAN)/wireless local area network (WLAN) 9.3.2 WBAN design requirements 9.3.3 mmWave in wireless body area network 9.4 5G-based internet of medical things (loMT) 9.4.1 loMT architecture 9.5 Open issues 9.5.1 Security issues in 5G-D2D-based WBAN 9.5.2 Propagation losses in mmWave communication 9.5.3 Impact of mmWave radiations on human health 9.6 Conclusion References 10 Security and privacy in health data storage and its analytics Lucky Kumar Agrawal, Deepika Agrawal, and Srinivasa K G 10.1 Introduction 10.1.1 Contribution 10.1.2 Organization 10.2 Data analytic in 5G 10.2.1 Application intelligence 10.2.2 Network intelligence 10.2.3 Phases in data analytic 10.3 Tools for analysis 10.3.1 Hadoop distributed filesystem xi 215 215 216 218 218 220 221 227 228 228 229 230 231 232 232
233 235 237 238 239 240 242 243 243 243 243 245 245 249 249 250 251 251 252 252 252 254 254
xii Blockchainfor 5G healthcare applications: security andprivacy solutions 10.3.2 Text mining 10.3.3 Complex event processing 10.3.4 Hive 10.3.5 Jaql 10.3.6 Zookeeper 10.3.7 Apache soir 10.3.8 Lucene 10.3.9 Presto 10.4 Data storage 10.4.1 Value 10.4.2 Variety 10.4.3 Velocity 10.4.4 Veracity 10.4.5 On-premise data storage 10.4.6 Cloud storage 10.4.7 Hybrid approach 10.5 Introduction to security and privacy 10.6 Security threats in a wireless communication system 10.6.1 Rogue access points 10.6.2 Denial of Service (DOS) 10.6.3 Configuration problems 10.6.4 Passive capturing 10.6.5 1G networks 10.6.6 2G networks 10.6.7 3G networks 10.6.8 4G networks 10.6.9 5G networks 10.7 E2E security solution for 5G 10.8 Privacy challenges in 5G networks 10.8.1 Loss of data ownership 10.8.2 Location of legal disputes 10.8.3 Shared environment 10.8.4 Hacking 10.8.5 Providing information for third party 10.9 Privacy solutions for 5G 10.9.1 Privacy-aware routing mechanisms by using SDN 10.9.2 Hybrid cloud approach 10.9.3 Service-oriented privacy preserving, mechanism 10.10 Privacy and security concerns in healthcare data 10.10.1 Importance of security and privacy in healthcare data 10.10.2 Sharing data in cloud 10.10.3 Data administration and laws 10.10.4 Malware attacks 10.10.5 Medical identity theft 10.10.6 Social issues 254 254 254 255 255 255 255 255 255 255 256 256 256 256 256 262 262 263 264 264 264 264 264 265 265 265 265 266 266 267 267 267 267 268 268 268 268 269 269 269 269 270 270 270 270
Contents xiii 10.10.7 Incorrect diagnosis and treatment 10.10.8 Denial of valid insurance claims 10.10.9 Employment issues 10.11 Security of healthcare data 10.11.1 EHR storage 10.11.2 Malicious code 10.11.3 Mobile devices 10.11.4 Online systems protection 10.11.5 Protected access 10.11.6 Healthcare data security life cycle 10.11.7 Technologies used for security of healthcare data 10.11.8 Access control 10.11.9 5GHealthNet 10.11.10 Healthchain 10.12 Privacy of healthcare data 10.12.1 Data protection laws 10.12.2 HIPAA Act, Patient Safety and Quality Improvement Act (PSQIA), and HITECH Act 10.12.3 IT Act and IT (Amendment) Act 10.12.4 Constitution 10.12.5 Data Protection Act (DPA) 10.12.6 Data protection directive 10.12.7 The 09-08 Act, dated 18 February 2009 10.12.8 Methods of privacy preservation for healthcare data 10.12.9 A privacy framework for healthcare data in cloud computing 10.13 Conclusion References 270 270 270 271 271 271 271 271 272 272 273 275 275 276 279 279 279 279 279 280 280 280 280 281 282 283 11 Artificial intelligence and machine learning techniques for diabetes healthcare 287 Dr Mânjiri Mastoli, Dr Urmila Pol, Dr.R. V. Kulkarni, and Rahul Patil 11.1 11.2 11.3 11.4 11.5 11.6 Introduction 11.1.1 Research contribution Data science healthcare applications overview Data science 11.3.1 Healthcare management and health informatics 11.3.2 Machine learning 11.3.3 Deep learning Diabetes mellitus and its complication Deep learning mode) for prediction of diabetes retinopathy 11.5.1 Diabetic retinopathy 11.5.2 Methodology for deep learning model Results and
discussion 288 289 289 290 290 291 292 293 295 297 297 300
xiv Blockchain for 5G healthcare applications: security andprivacy solutions Machine learning model for predictionof diabetes mellitus 11.7.1 Description of the dataset 11.7.2 Knowledge base designing 11.7.3 Knowledge base as a dataset 11.7.4 Results and discussion 11.7.5 Prediction tests 11.8 Conclusion References 301 302 303 303 307 308 309 310 12 Analytics for data security and privacy in 5G healthcare services К Rajkumar and U Hariharan 315 11.7 12.1 Introduction 12.2 loMT security and privacy architecture model 12.2.1 Awareness or perception level 12.2.2 Communication layer 12.2.3 Middleware layer 12.2.4 Software or application layer 12.3 Suggested taxonomy for IoT-based receptors within the electronic healthcare system domain 12.4 Taxonomy of loT security 12.4.1 loT security risk 12.4.2 Prerequisite 12.4.3 Institute of Electrical and electronics engineers standards 12.4.4 Deployment level 12.4.5 Technical knowledge 12.5 S-health framework and techniques 12.6 Identified issues and solutions 12.6.1 Summary of analyzed effort held through this particular research 12.7 Open issues and challenges 12.8 Conclusions and open research issues in future References 13 Contactless attendance system: a healthcare approach to prevent spreading of covid-19 Arvind R Yadav, Jayendra Kumar, Anu meha, Ayush Kumar Agrawal, and Roshan Kumar Introduction 13.1.1 Traditional attendance system 13.1.2 Automated attendance system 13.1.3 Motivation 13.2 Literature review 13.1 316 319 320 321 323 324 324 325 326 326 326 327 328 328 332 335 335 339 340 347 348 348 348 348 349
Contents 13.3 13.4 13.5 13.6 13.7 13.8 13.2.1 5G and covid-19 blockchain: value and importance Proposed system Student and capture image 13.3.1 Face detection 13.3.2 Cropping of faces 13.3.3 13.3.4 Face recognition 13.3.5 Database of students’ images 13.3.6 Record attendance and attendance system Face detection 13.4.1 Object localization 13.4.2 Classification with localization Landmark detection 13.4.3 Object detection Training set creation and training 13.5.1 Sliding window technique 13.5.2 13.5.3 Fully connected layers to convolutional layers 13.5.4 Convolution implementation of sliding windows [29] 13.5.5 Drawing bounding boxes Intersection over Union (loU) 13.5.6 13.5.7 Non-max suppression Anchor boxes 13.5.8 Results 13.5.9 Face recognition 13.6.1 Introduction 13.6.2 Face verification vs. face recognition 13.6.3 Processes involved in face recognition 13.6.4 One-shot learning problem Recognition model 13.6.5 Identifying the model 13.6.6 Training the model ֊ triplet loss [20] 13.6.7 Encoding faces 13.6.8 13.6.9 Results 13.6.10 Recording attendance Attendance and visitor management 13.7.1 Why change? Intervention 13.7.2 13.7.3 Possible demerits Final takeaways 13.8.1 Face detection Image classification and recognition 13.8.2 Storage of the attendance date and time 13.8.3 Better system with liveness detection 13.8.4 Practical usage of the system 13.8.5 XV 353 354 354 355 355 356 356 356 356 357 357 358 358 358 358 358 359 359 359 360 360 361 361 362 362 363 363 364 364 365 366 366 368 369 369 369 369 369 370 370 370 370 370
xvi Blockchain for 5G healthcare applications: security and privacy solutions 13.8.6 Online database and user interaction 13.8.7 Communicating with the user 13.9 Conclusion References 14 Blockchain-based smart contracts for e-healthcare management 4.0 J S Shyam Mohan, Ramamoorthy S, Harsha Surya Abhishek Kota, Vedantham Hanumath Sreeman, and Vanam Venkata Chakradhar 14.1 Introduction 14.1.1 Evolution of Health care 1.0 to 4.0 14.1.2 Blockchain in health-care applications used for preventing diseases 377 14.2 Related works on blockchain technology in health-care sectors 14.3 Blockchain-based health-care and management applications 14.4 Benefits of blockchain technology in the health-care industry 14.5 Ethereum - system design 14.6 5G networks and Ethereum for the health-care sector 14.6.1 Challenges in the health-care sector 14.7 Real-time examples of Ethereum in the health-care sector 14.8 5G networks and smart contracts 14.9 Advantages of smart contracts 14.10 Choosing the smart contract platform 14.11 Applications of smart contracts in health care 14.12 Case study - design and architecture 14.12.1 Client layer 14.12.2 Blockchain layer 14.13 System implementation 14.13.1 Smart contracts 14.13.2 Algorithm 14.14 Experimental setup 14.14.1 Performance evaluation 14.15 Results 14.16 Conclusion References 15 An amalgamation of blockchain, Internet of Medical Things and 5G technologies for the Healthcare 4.0 ecosystem Desai Karanam Sreekantha and R. VKulkarni 15.1 Introduction 15.1.1 Motivation and significance for the study 15.1.2 Market potential for the health-care industry
15.1.3 Overview of blockchain, 5G and loMT technologies 15.1.4 Organization of the chapter 15.1.5 Authors’research contribution 371 371 371 372 375 375 376 379 379 381 382 383 384 384 384 385 386 386 387 387 387 388 388 388 389 390 391 392 393 397 398 398 398 398 400 401
Contents 15.1.6 Taxonomy and acronyms Review of recent literature 15.2.1 Blockchain 15.2.2 Survey on web portals and mobile apps literature 15.2.3 Healthcare 4.0 ecosystem 15.2.4 loMT survey 15.2.5 Comparative analysis of survey papers with specific parameters 15.2.6 Findings from literature survey 15.3 Architecture of the Healthcare 4.0 ecosystem 15.4 Research issues, implementation challenges, and future directions 15.4.1 Research issues in loMT and Healthcare 4.0 15.5 A Healthcare 4.0 ecosystem platforms and tools case study 15.5.1 Qualcomm Life - Capsule 15.5.2 Phillips HealthSuite 15.5.3 GDm-Health system for gestational diabetes mellitus 15.5.4 Medtronic insulin pump 15.5.5 Medtronic carelink 15.6 Conclusion References xvii 402 402 403 411 418 418 15.2 16 Detection of COVID-19 and its symptoms using chest X-rays for health care Jayendra Kumar, Arvind R. Yadav, Anumeha, Shivam Kumar, and Anukul Gaurav Introduction Motivation 16.1.1 16.1.2 Importance of blockchain in 5G and COVID-19 16.1.3 Research contributions 16.1.4 Organization of the chapter 16.2 Objective 16.3 Literature review 16.3.1 Current methodology 16.3.2 Related work 16.4 Theoretical background 16.4.1 Technologies used 16.5 Experimental Analysis 16.5.1 Importing the dataset 16.5.2 Pre-processing of the data 16.5.3 Splitting the training and test data 16.5.4 Architecture of CNN 16.5.5 Callbacks Fitting model 16.5.6 16.5.7 Graphical plot of accuracy and loss function 16.1 425 425 425 437 437 440 440 441 442 442 442 443 444 451 451 454 454 455 455 455 456 456 459 460 460 466 466 467 469 469 472 472 472
xviii Blockchain for 5G healthcare applications: security andprivacy solutions 16.6 Results and discussion 16.7 Blockchain for integration with 5G networks and handling COVID-19 16.8 Research opportunitiesand open issues 16.9 Conclusion and future scope References 17 Security and privacy control in 5G-enabled health care using blockchain Rima Patel, Amit Ganatra, and Khushi Patel 17.1 Introduction 17.1.1 Motivation 17.1.2 Contribution 17.1.3 Organization 17.2 Background theory 17.2.1 Smart health care 17.2.2 5G 17.2.3 5G֊enabledSH 17.2.4 Blockchain technology 17.2.5 Evolution of blockchain 17.2.6 Blockchain for 5G-enabled health care 17.3 Current issues and challenges in 5G-enabled health care 17.3.1 Technological challenges 17.3.2 Common challenges 17.4 Security and privacy concerns in 5G-enabled health care 17.5 Existing blockchain-based security solutions for health care 17.5.1 Challenges of blockchain with 5G-enabled SH 17.6 Conclusion References 18 M2M for health care with blockchain security aspects Kiran Ahuja, Indu Bala, Anand Nayyar, and Bandana Mahapatra 18.1 Introduction 18.2 State of the art: blockchain and M2M 18.2.1 Background of the M2M network 18.2.2 Background of blockchain 18.2.3 Integration of blockchain and M2M 18.2.4 Literature survey/related work 18.3 Blockchain for M2M-enabling technologies 18.3.1 Communication blockchain design in the public network area 18.3.2 Communication blockchain design in the private network area 516 473 475 476 477 477 481 481 484 484 484 484 485 487 487 489 491 494 496 496 497 498 500 501 501 504 507 507 511 511 511 512 513
515 516
Contents xix Challenges and proposed solutions of M2M 517 18.4.1 Physical random access channel (PARCH) overload problem 517 18.4.2 Inefficient radio resource utilization and allocation 519 18.4.3 Clustering techniques 520 18.4.4 QoS provisioning for M2M device communication 523 18.4.5 Cheap price and low power requirements for devices 523 18.4.6 Security and privacy 523 18.5 M2M implementation in health-care - a future direction 525 18.5.1 Predictive maintenance of medical devices by employing M2M 526 18.5.2 Intelligent manufacturing by M2M 526 18.5.3 M2M creates smart hospitals 527 18.5.4 M2M provisions automatic alerting systems 527 18.5.5 Emergency medical services possible via M2M 527 18.5.6 Remote vital sign monitoring from a hospital environment through M2M 527 18.5.7 Post-marketing surveillance of medical devices 527 18.5.8 Security and interoperability in health care 528 18.5.9 Use cases of blockchain-based M2M-enabled health-care applications 530 18.6 Conclusion 531 References 531 18.4 Index 537 |
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| owner_facet | DE-739 |
| physical | xxviii, 552 Seiten Illustrationen, Diagramme 24 cm |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Institution of Engineering and Technology |
| record_format | marc |
| series | IET book series on e-health technologies |
| series2 | IET book series on e-health technologies |
| spelling | Blockchain for 5G healthcare applications security and privacy solutions edited by Sudeep Tanwar Stevenage Institution of Engineering and Technology 2022 xxviii, 552 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier IET book series on e-health technologies 35 35 Medical records / Data processing / Security measures Health services administration / Technological innovations Blockchains (Databases) Blockchains (Databases) fast Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Blockchain (DE-588)1124028595 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 s Blockchain (DE-588)1124028595 s DE-604 Tanwar, Sudeep Sonstige (DE-588)1261823303 oth IET book series on e-health technologies 35 ; 35 (DE-604)BV048560924 35 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033590321&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Blockchain for 5G healthcare applications security and privacy solutions IET book series on e-health technologies Medical records / Data processing / Security measures Health services administration / Technological innovations Blockchains (Databases) Blockchains (Databases) fast Gesundheitswesen (DE-588)4020775-4 gnd Blockchain (DE-588)1124028595 gnd |
| subject_GND | (DE-588)4020775-4 (DE-588)1124028595 |
| title | Blockchain for 5G healthcare applications security and privacy solutions |
| title_auth | Blockchain for 5G healthcare applications security and privacy solutions |
| title_exact_search | Blockchain for 5G healthcare applications security and privacy solutions |
| title_exact_search_txtP | Blockchain for 5G healthcare applications security and privacy solutions |
| title_full | Blockchain for 5G healthcare applications security and privacy solutions edited by Sudeep Tanwar |
| title_fullStr | Blockchain for 5G healthcare applications security and privacy solutions edited by Sudeep Tanwar |
| title_full_unstemmed | Blockchain for 5G healthcare applications security and privacy solutions edited by Sudeep Tanwar |
| title_short | Blockchain for 5G healthcare applications |
| title_sort | blockchain for 5g healthcare applications security and privacy solutions |
| title_sub | security and privacy solutions |
| topic | Medical records / Data processing / Security measures Health services administration / Technological innovations Blockchains (Databases) Blockchains (Databases) fast Gesundheitswesen (DE-588)4020775-4 gnd Blockchain (DE-588)1124028595 gnd |
| topic_facet | Medical records / Data processing / Security measures Health services administration / Technological innovations Blockchains (Databases) Gesundheitswesen Blockchain |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033590321&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV048560924 |
| work_keys_str_mv | AT tanwarsudeep blockchainfor5ghealthcareapplicationssecurityandprivacysolutions |