Cloud Network Management: An IoT Based Framework

Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
Foreword
Preface
Editors
Contributors
Abstract
Part I: Evolution of IoT, Cloud Network and Network Mobility
1. Evolution of Cloud Fog IoT Interconnection Networks
1.1 Introduction
1.2 Motivation and Contributions
1.3 Evolution of Traditional cloud networks
1.4 Into the Fog
1.5 IoT Fog Cloud Interplay
1.5.1 Challenges in IoT Fog Cloud Interplay
1.5.1.1 Resource Management
1.5.1.2 Inter and Intra Stratum Communication
1.5.1.3 Cloud Fog Federation
1.5.2 Applications of IoT Fog Cloud Interplay
1.5.2.1 Healthcare Applications
1.5.2.2 Connected Vehicles
1.5.2.3 Smart City Applications
1.6 Research Challenges and Solution Approach
1.7 Conclusion
2. Edge or Cloud: What to Choose?
2.1 Introduction
2.2 Background & Related Work
2.2.1 Edge Based Learning
2.2.2 Cloud Computing
2.2.3 K Means
2.3 Experiment
2.3.1 Edge Based Learning Procedure
2.3.2 Cloud Based Learning Procedure
2.3.3 Experimental Objectives
2.3.4 Setup
2.4 Analysis
2.4.1 CPU Utilization
2.4.2 Memory Utilization
2.4.3 Data Transmission Rate
2.4.4 Power Consumption
2.4.5 Energy Consumption
2.4.6 Summary
2.5 Findings
2.5.1 Edge Based Learning
2.5.2 Cloud based Learning
2.5.3 Comparison
2.6 Conclusion
3. The Survey, Research Challenges, and Opportunities in ICN
3.1 Introduction
3.2 Internet architecture and working
3.2.1 Research challenges and issues
3.3 Information Centric Networks (ICN)
3.3.1 Important terminologies used in ICN
3.3.2 Concepts and components of Information Centric Networking
3.3.2.1 ICN Naming Scheme
3.3.2.2 Routing in ICN
3.3.2.3 In Network Caching
3.3.3 ICN Architectures
3.3.3.1 Data Oriented Network Architecture (DONA)
3.3.3.2 Named data Networking
3.3.3.3 Other architectures
3.3.4 Information Centric Networking based Internet of Things
3.3.4.1 Why ICN for IoT?
3.3.4.2 IoT Architecture Requirements
3.3.4.3 Significance of ICN for IoT
3.3.4.4 IoT Requirements Mapping to ICN Characteristics
3.3.4.5 ICN IoT network architectures
3.3.4.6 In network Computation in Edge Computing and Cloud Computing
3.4 Conclusion
Part II: Standards and Protocol
4. Security in Cloud Based IoT
4.1 Introduction
4.2 Motivation and Contribution
4.3 Research Method and Research Challenge
4.4 Cloud based IoT: Technologies and Design Issues
4.4.1 Design Issues
4.5 Cloud Based IoT: Security Threats
4.5.1 Cloud Security Threats
4.5.2 IoT and Cloud based IoT Security Threats
4.6 Implementation aspects of Cloud based IoT
4.7 Concluding Remarks
5. Cloud Enabled Body Area Network
5.1 Abstract
5.2 Introduction
5.3 Bio Sensor Nodes
5.4 Body Area Network
5.4.1 Communication Architecture
5.4.2 Physical and MAC Layers of BAN
5.5 Cryptographic Building Blocks
5.5.1 Cryptographic Hash Function
5.5.2 Homomorphic Encryption
5.5.3 Bilinear Pairing
5.5.4 Attribute Based Encryption
5.6 Privacy and Security
5.6.1 Security Notions in Cloud enabled BAN
5.6.2 Attacks and Threats in Cloudenabled BAN
5.6.3 Existing Security and Privacy Solutions in Cloud enabled BAN
5.7 Authentication in BAN
5.8 Key Management in BAN
5.9 Conclusion
6. Trust and Access Controls in IoT to Avoid Malicious Activity
6.1 Introduction
6.2 Threats, Vulnerabilities, and Access control Requirement in Internet of Things
6.2.1 Threats
6.2.2 Vulnerabilities
6.2.3 The importance of Access controls and Trust of users
6.3 Literature Review
6.4 Problem formation
6.4.1 Improved Trust calculation
6.5 Simulations
6.6 Access Controls on Sensitive Data
6.6.1 Algorithm 1:
6.6.2 Algorithm 2:
6.7 Conclusions
7. A Layered Internet of Things (IoT) Security Framework: Attacks, Counter Measures and Challenges
7.1 Introduction
7.2 Related Work
7.3 Taxonomy of IoT Attacks
7.3.1 Physical Layer Attacks (PLA)
7.3.1.1 Physical Node Tampering
7.3.1.2 Malicious Node Injection
7.3.1.3 RFID Tag Cloning
7.3.2 Wireless Sensor Network Layer Attacks (NLA)
7.3.2.1 Jamming Attack
7.3.2.2 Side Channel Attack
7.3.2.3 MAC Spoofing
7.3.3 Data Sensing and Acquisition Layer Attacks (DSAL)
7.3.3.1 Malicious Code
7.3.3.2 Traffic Monitoring
7.3.3.3 Inefficient Logging
7.3.4 Internet Layer Attacks (ILA)
7.3.4.1 Jamming Attack
7.3.4.2 False Routing
7.3.4.3 Alteration and Spoofing
7.3.5 Service Layer Attacks (SLA)
7.3.5.1 Account Hijacking
7.3.5.2 VM Escape
7.3.5.3 Malicious VM Creation
7.3.6 Data Abstraction Layer Attacks (DALA)
7.3.6.1 Malicious node Injection
7.3.6.2 Improper Queries
7.3.6.3 Malicious Insider
7.3.7 Interface Layer Attacks (ILA)
7.3.7.1 Reverse Engineering
7.3.7.2 Reprogramming Attack
7.3.7.3 DDoS Attack
7.4 Proposed IoT Security Framework
7.4.1 Perception Layer
7.4.2 Wireless Sensor Network Layer
7.4.3 Data Sensing and acquisition layer
7.4.4 Internet Layer
7.4.5 Service Layer
7.4.6 Data Abstraction Layer
7.4.7 Interface Layer
7.5 Case Study: Implementation of Denial of Service Attack in Home Automation
7.5.1 A brief description of attack
7.5.2 Experimental Test bed Details
7.5.3 Execution Steps
7.6 Research and Challenges
7.7 Conclusion
Part III: Engineering and Applications for IoT Cloud Network
8. A Novel Framework of Smart Cities Using Internet of Things (IoT): Opportunities and Challenges
8.1 Introduction
8.1.1 IoT infrastructure for smart city
8.1.1.1 Network centric IoT
8.1.1.2 Cloud centric IoT
8.1.1.3 Data Centric IoT
8.1.1.4 Human Centric IoT
8.2 Smart City Hierarchy
8.2.1 Associated communication technology for realizing smart cities
8.3 Proposed Framework
8.3.1 Sensing Layer
8.3.2 Data Abstraction layer
8.3.3 Base station layer
8.3.4 Edge server layer
8.3.5 Cloud computing layer
8.3.6 Application layer
8.4 Case Study
8.4.1 Smart traffic management
8.4.2 Smart Healthcare
8.5 Open Challenges and opportunities
8.6 Conclusion
9. Interoperability and Information Sharing Paradigm for IoT Enabled Healthcare
9.1 Introduction
9.2 Mobile Health and the Internet of Medical Things
9.3 Enabling Precision & Personalized Medicine
9.4 Health Data Ownership in IoT and the Cloud
9.4.1 IoT Data Ownership Challenges
9.4.1.1 Consent for Data Capture
9.4.1.2 Verifying Data Ownership: Local Identity Management and Authentication
9.4.2 Healthcare Data Ownership
9.4.2.1 Electronic Health Record (EHR)
9.4.2.2 Personal Health Record
9.4.2.3 Bridging Medical Data Ownership: Combining EHR and PHR
9.5 Enabling IoMT Information Sharing in Healthcare
9.5.1 Collecting Data from IoMT Devices
9.5.2 Traditional Health Record Information Exchange for Informa tion Federation
9.5.2.1 Regulating Provider Access to PHR Data
9.5.2.2 Providing Emergency Data Access
9.5.3 Ensuring Data Integrity from IoMT Sensors
9.5.4 Privately Replicating and Sharing Large Datasets
9.5.5 Maintaining Consensus in Large Scale Federated Systems
9.5.6 Providing Emergency Access to Real Time IoMT Data
9.6 Achieving Heterogeneous Data Interoperability
9.6.1 Interoperability Architecture Overview
9.6.2 Current Interoperability Standards
9.6.3 Future Standards and Alternative Methods
9.7 Challenges & Opportunities
10. Cloud Computing Based Intelligent Healthcare System
10.1 Introduction
10.2 Building an intelligent healthcare system
10.3 Early detection and prediction of brain tumor using Intel ligent Cloud
10.3.1 Classification using different models
10.3.2 Image Inversion
10.4 Experiments and Results
10.4.1 Naive Bayes Classifier Model
10.4.2 CNN Model
10.4.3 Image Inversion
10.4.4 Summary and Discussion
10.5 Research Challenges and possible solutions
10.6 Conclusion
10.7 Acknowledgement
11. IoT Cloud Network for Healthcare
11.1 Introduction to modern health computing
11.2 Overcoming the challenges
11.2.1 Security and privacy of patient data
11.2.2 Lack of uniformity among connected mobile devices
11.2.3 Vulnerable data transmissions
11.2.4 Patient readiness
11.2.5 Awareness about IoTs
11.2.6 Paralysis of Data Analysis
11.3 Cloud computing over the intelligent healthcare system
11.4 IoT and smart health system paradigms
11.4.1 History of IoT in healthcare
11.4.2 Role of IoT in Healthcare
11.4.3 Challenges of IoT in healthcare
11.4.4 Future of IoT in healthcare
11.4.5 Patient centered care
11.4.6 Teleconsultation and Remote Patient monitoring
11.4.7 Wearable sensors
11.4.8 Insideable devices
11.4.9 Mobile apps
11.4.10 Electronic Medical Records (EMR)
11.4.11 Health portals
11.4.12 Big data
11.4.13 The human genome project
11.4.14 Personalized and precision medicine
11.4.15 3D Printing
11.4.16 Artificial intelligence in healthcare
11.5 New Design and Performance of IoT cloud for Smart Healthcare and Monitor system
11.5.1 Disruptions in Internet
11.5.2 Diversity of Protocols
11.5.3 No Special Testing Tools Were Made for Healthcare Applica tions
11.5.4 Difficulties in Performing Healthcare IoT Performance Testing
11.5.5 Mobile technology in revolution of Smart Healthcare
11.5.6 Financial challenges
11.5.7 SaaS helps improve delivery of Hospital services
11.5.8 The benefits of cloud computing
11.5.9 Cloud security and regulatory compliance
11.5.10 Spend less money, serve more patients
11.5.11 mHealth in action
11.5.11.1 IoMT Platforms
11.5.11.2 Amazon Web Services IoT
11.5.11.3 Qualcomm Life
11.5.11.4 Data Flow
11.5.11.5 Azure IoT Suite
11.5.11.6 Intel IoT
11.5.12 Compliance and Regulations
11.5.12.1 HIPAA Rules
11.5.12.2 HITECH Act
11.5.12.3 HITRUST
11.5.12.4 PCI
11.5.13 What We See in Future
11.5.13.1 Healthcare Robots
11.5.13.2 The Brain Computer Interface
Bibliography
Index