Linked e-resources
Details
Table of Contents
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.
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.