Blockchain and IoT based Smart Healthcare Systems
1st Edition
Published on 22. February 2024
290 pages
978-981-5196-29-0 (ISBN)
Description
New technologies like blockchain and Internet of Things (IoT) are constantly improving the state-of-the-art in healthcare services. The trend of keeping medical records in digital formats is also increasing the reliance of modern healthcare service providers on these new technologies. This edited book brings a collection of reviews on blockchain and IoT technologies that are driving innovation in digital and smart healthcare systems. The editors bring an academic and practical approach to assist professionals and readers in understanding computerized healthcare solutions. 16 referenced chapters provide knowledge about fundamental framework, research insights, and empirical evidence for effective smart healthcare applications. The chapters also cover benefits and challenges of specific smart health frameworks, giving an informative overview of the subject. Key themes of the book include: 1. Technological Foundations for Smart Healthcare 2. Blockchain Applications in Healthcare 3. Internet of Things (IoT) in Healthcare 4. Artificial Intelligence (AI) Integration 5. Security, Privacy, and Authentication 6. Medical Imaging and Deep Learning 7. Telemedicine The content in the book is designed to help administrators and healthcare professionals to understand the basics of blockchain tech and IoT in smart healthcare systems and strengthen the competitive advantage of their clinics. Readership Healthcare professionals and administrators.
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D. Karthika Renuka | Sonali Agarwal | Sheng-Lung Peng
Blockchain and IoT based Smart Healthcare Systems
Book
02/2024
Bentham Science Publishers
€101.63
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Content
- Cover
- Title
- Copyright
- End User License Agreement
- Contents
- Foreword
- Preface
- List of Contributors
- The Role of Emerging Technologies in Smart Health Care
- Jaskiranjit Kaur1,* and Parvesh Kumar2
- INTRODUCTION
- Artificial Intelligence (AI)
- INITIATIVES ON AI
- Self-Diagnosis AI Apps
- AI is a Useful Tool for Emergency Medical Personnel
- Speeds Up the Invention and Improvement Of Genetic Remedy
- AI in Pandemic
- NANOTECHNOLOGY
- How Nano-medicines or Smart Pills Work?
- IoT
- Five-Layer Architecture of IoT
- Healthcare Monitoring Devices, Embedded Sensors
- IoT Device Trends and Anticipated Growth
- Key Market Insights
- Drone
- Transporting Devices and Materials
- Enable Backup Transport System in the Pandemic
- Delivering Organ Transfers
- Blockchain
- Machine Learning
- CONCLUSION
- REFERENCES
- An Overview of Blockchain in the Field of Smart Healthcare System
- Ramya E.1,* and Kumaresan N.2
- INTRODUCTION
- MAJOR ISSUES AND CHALLENGES OF HEALTHCARE SYSTEMS
- ROLE OF BLOCKCHAIN IN THE HEALTHCARE SYSTEM
- BLOCKCHAIN APPLICATIONS IN HEALTHCARE
- ROLE OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN IN SMART HEALTHCARE SYSTEMS
- RECENT CHALLENGES TO BLOCKCHAIN IMPLEMENTATION IN IN THE HEALTHCARE SYSTEMS
- CONCLUSION AND FUTURE WORK OF BLOCKCHAIN IN THE FIELD OF SMART HEALTHCARE SYSTEMS
- REFERENCES
- Integration of Blockchain and Internet of Things
- R. Babu1,*, Jayashree K.2, Priya Vijay3 and Vijay K.3
- INTRODUCTION
- BLOCKCHAIN
- Components of Blockchain
- Blockchain's Features
- Types of Blockchain
- INTERNET OF THINGS
- Features of IoT System
- Significant Utilization of IoT during the Covid-19 Pandemic
- INTEGRATION OF BLOCKCHAIN AND INTERNET OF THINGS
- RELATED WORK
- RESEARCH CHALLENGES OF IOT DATA ON BLOCKCHAIN
- FUTURE RESEARCH DIRECTIONS
- i. Machine Machine Learning-Based Solutions for BIoT Applications' Security and Privacy
- ii. Problems Arising from Decentralization's Technical Implementation
- iii. Blockchain Infrastructure
- iv. Governance, Regulations, and Legal Aspects
- v. Adaptability
- CONCLUSION AND FUTURE WORK
- REFERENCES
- Consequences and Deliberations in Implementation of Blockchain and Internet of Things Integration
- K. Karthigadevi1,* and G. Srinivasagan2
- INTRODUCTION
- LITERATURE REVIEW
- Blockchain Types
- a. Public Blockchain
- b. Blockchain Consortium
- c. Personalized Blockchain
- i. The Transaction Between Performance, Power Consumption and Security
- ii. Cooperating Between Throughput and Concurrency:
- iii. Property Tests of IoT:
- iv. Difficulties for Preserving Transparency and Confidentiality in IoT
- v. Regulation and Difficulties of Blockchain Technology in IoT
- LIMITATIONS AND IOT APPLICATION ATTACKS
- Limitations in IoT of Wireless Sensor
- BLOCKCHAIN SECURITY ANALYSIS
- Improved Blockchain Security
- Decentralization
- Higher Traceability
- Reduced Cost
- Data Privacy
- Immutability
- Greater Transparency
- CONCLUSION
- REFERENCES
- Blockchain Integrated with Internet of Things-benefits, Challenges
- Geeta Amol Patil1,*, Surekha K.B.1, Chaithra V.1 and Anand Kumar S.2
- INTRODUCTION
- AN OVERVIEW OF THE INTERNET OF THINGS
- Centralized Architecture of IoT
- AN OVERVIEW OF BLOCKCHAIN
- Components of Blockchain
- Design, Architecture and Methodology
- BENEFITS AND APPLICATIONS
- Benefits of Integrating IoT and Blockchain
- Applications of Integration of IoT a Blockchain
- CONCLUSION & FUTURE WORK
- REFERENCES
- Blockchain Powered Medical Sector - Application, Challenges and Future Research Scope
- Divya P.1,*, Saranya R.2 and Praveena V.3
- INTRODUCTION
- COMPONENTS OF BLOCKCHAIN
- LITERATURE REVIEW
- BLOCKCHAIN TECHNOLOGY IN MEDICAL SECTOR
- Significant Applications Blockchain for Healthcare
- Information Storage of a Patient
- Analyse the Effects of a Particular Procedure
- Validation
- Safety and Transparency
- Health Record Keeping
- Clinical Trial
- Display Information
- Identification of False Content
- Reduces Needless Overhead Expenses
- Patient Monitoring
- Create Research Initiatives
- Maintain Financial Statements
- Improves Safety
- Reduce Data Transformation Time and Cost
- Drug Traceability
- CHALLENGES IN HEALTHCARE BLOCKCHAIN ADAPTATION
- Data Collection and Storage
- Data Sharing and Interoperability
- The Need for a Socioeconomic Database
- CONCLUSION AND FUTURE WORK
- REFERENCES
- Blockchain in the Healthcare Domain and Performing Various Security Analysis
- Suresh Kumar Nagarajan1,*, Geetha Narasimhan2, Akila Victor2, Yash Vaish2 and Pranshu Tripathi2
- INTRODUCTION
- LITERATURE SURVEY
- PROBLEM STATEMENT
- RESEARCH FRAMEWORK
- IMPLEMENTATION
- BitCoin Wallet
- TESTING
- RESULTS AND DISCUSSION
- Summary of the Website
- Website Screenshot
- Exchange Spoof Attack
- CONCLUSION AND FUTURE WORK
- REFERENCES
- IOT-Based Smart Healthcare System with Hybrid Key Generation and DNA Cryptography
- Vidhya E.1,*
- INTRODUCTION
- PROPOSED WORK
- Key Generation Process
- Encryption Process
- Decryption Process
- RESULTS AND DISCUSSION
- CONCLUSION AND FUTURE WORK
- REFERENCES
- Security Enhancement in Cloud and Edge Computing Through Blockchain Technology
- Santanu Koley1,* and Pinaki Pratim Acharjya1
- INTRODUCTION
- CLOUD COMPUTING
- PRIVACY CHALLENGES IN CLOUD COMPUTING
- Data Confidentiality Issues
- Data Loss Issues
- Geographical Data Storage Issues
- Multi-Tenancy Security Issues
- Transparency Issues
- Hypervisor Related Issues
- Managerial Issues
- BLOCKCHAIN
- Blockchain Introduces Benefits for Security and Privacy
- BLOCKCHAIN RESEARCH AREAS FROM A SECURITY AND PRIVACY PERSPECTIVE
- Healthcare
- Internet of Things
- Vehicular Cloudlet
- Payment and Loan
- Privacy-Preserved Tracking
- BLOCKCHAIN IN HEALTHCARE
- Healthcare Implementation Using Blockchain
- EDGE COMPUTING
- APPLYING BLOCKCHAIN IN EDGE COMPUTING TO IMPROVE SECURITY AND PRIVACY
- Anonymity
- Authentication
- Protocol Security
- Security and Privacy in Architecture
- Data Security
- Integrity
- Availability
- User Privacy
- ADVANTAGES OF COMBINING THE CLOUD COMPUTING NETWORK WITH BLOCKCHAIN TECHNOLOGY
- Cloud Computing with Hyperledger Blockchains
- Efficient Ownership Tracking
- Decentralization
- Increased Data Security
- Fault Tolerance
- Scalability
- Faster Disaster Recovery
- Micro Transactions
- Distributed Supercomputing
- Smartening Healthcare Sector
- Smart Manufacturing
- CONCLUSION AND FUTURE WORK
- ACKNOWLEDGEMENTS
- AUTHOR CONTRIBUTIONS
- REFERENCES
- Effective Automated Medical Image Segmentation Using Hybrid Computational Intelligence Technique
- Manoranjan Dash1,*, Raghu Indrakanti2 and M. Narayana2
- INTRODUCTION
- RELATED WORKS
- DATABASE DETAILS
- METHODOLOGY
- RESULTS
- CONCLUSION AND FUTURE WORK
- REFERENCES
- IoT-Botnet Detection and Mitigation for Smart Healthcare Systems using Advanced Machine Learning Techniques
- S. Jayanthi1,* and A. Valarmathi2
- INTRODUCTION
- Background Methodologies
- I. Botnet
- II. DDoS attack
- III. Security vulnerabilities in IoT
- THEME OF WORK
- LITERATURE REVIEW
- PROPOSED DETECTION METHOD
- A. ARCHITECTURE DIAGRAM
- 1. Collection of Dataset
- 2. Data Pre-processing
- 3. Feature Engineering
- 4. Training and Testing Data
- 5. Splitting of Data
- B. SUPPORT VECTOR MACHINE
- C. MULTI-LAYER PERCEPTRON (MLP) CLASSIFIERS
- D. LIGHT GRADIENT BOOSTER MACHINE
- E. PSEUDOCODE
- PROPOSED APPROACH
- RESULTS & ANALYSIS
- Research Challenges Addressed
- CONCLUSION & FUTURE WORK
- REFERENCES
- Smart Healthcare Classifier - Skin Lesion Detection using a Revolutionary Light Weight Deep Learning Framework
- Sanjay V.1,*, Suresh Kumar Nagarajan2 and Sarvana Kumar S.3
- INTRODUCTION
- RELATED WORKS
- DL Segmentation Techniques
- METHODOLOGY
- Number-theoretic First-order Cumulative Moment Algorithm
- RESULTS AND DISCUSSION
- CONCLUSION
- REFERENCES
- Recent Trends in Telemedicine, Challenges and Opportunities
- S. Kannadhasan1,*, R. Nagarajan2 and M. Shanmuganantham3
- INTRODUCTION
- TELEMEDICINE
- HEALTHCARE
- INDUSTRY SECTOR
- MACHINE LEARNING
- APPLICATIONS OF BIOMEDICAL SECTOR
- CONCLUSION AND FUTURE WORK
- REFERENCES
- Sustainable Development for Smart Healthcare using Privacy-preserving Blockchain-based FL Framework
- D. Karthika Renuka1,*, R. Anusuya2 and L. Ashok Kumar2
- INTRODUCTION
- RELATED WORKS
- PROPOSED METHODOLOGY
- i. Methodology Used
- ii. Modules Identified
- iii. Modules For Framework Selection
- iv. Modules For Privacy Preservation
- v. Module For Communication Efficient
- A). DATASET DESCRIPTION
- B). IMPLEMENTATION: MODULE 1-FL WITH FLOWER FRAME- WORK
- I). ALGORITHM
- Server
- Client
- II). IMPLEMENTATION
- C). MODULE 2-FL WITH PYSYFT FRAMEWORK
- I). ALGORITHM
- II). IMPLEMENTATION
- D). MODULE 3-FL WITH SECURE MULTIPARTY COMPUTATION
- E). MODULE 5: FL WITH DIFFERENTIAL PRIVACY
- I). ALGORITHM
- II). IMPLEMENTATION
- F). MATHEMATICAL EXPLANATION
- B). ATTACKS
- CONCLUSION AND FUTURE WORK
- REFERENCES
- Smart Ambulance for Emergency Cases to be Reported to Hospitals at the Earliest using Deep Learning Algorithms and Blockchain-based Distri- buted Health Record Transactions for smart Cities
- V. Kavitha1,* and Partheeban Pon2
- INTRODUCTION
- AI VS ML VS DL
- BLOCKCHAIN
- LITERATURE SURVEY
- CALL SYSTEMS DURING EMERGENCY
- Issues in Call Systems
- Caller Location
- FRAMEWORK FOR SMART AMBULANCE SYSTEM
- IMPLEMENTATION METHODOLOGY
- REST API SERVER
- DATA EXTRACTION PHASE
- RESPONSE AND DATA VISUALIZATION PHASE
- CONCLUSION AND FUTURE WORK
- REFERENCES
- Authentication Techniques for Human Monitoring in Closed Environment
- Vishu V.1,* and Manimegalai R.2
- INTRODUCTION
- RADIO FREQUENCY IDENTIFICATION IN HUMAN MONITORING
- SENSORS USED IN HUMAN MONITORING
- PREDICTION PARAMETERS IN HUMAN MONITORING
- DECISION-MAKING AND SEARCH IN HUMAN MONITORING
- INFRASTRUCTURE OF THE CLOSED HUMAN MONITORING ENVIRONMENT
- EXISTING TECHNOLOGIES AND TOOLS FOR HUMAN MONITORING
- AUTHENTICATION TECHNIQUES IN HUMAN MONITORING SYSTEMS
- CONCLUSION
- REFERENCES
- Abbreviation
- ABBREVIATION
- Subject Index
- Back Cover
