Smart Cities: IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques

✍ Scribed by Alex Khang, Shashi Kant Gupta, Sita Rani, Dimitrios A. Karras

• Publisher: CRC Press
• Year: 2023
• Tongue: English
• Leaves: 429
• Category: Library

✦ Synopsis

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms.

Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.

The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Contents
Biography of Editors
Contributors
Preface
Acknowledgments
Chapter 1: Smart City: Concepts, Models, Technologies and Applications
1.1. Introduction
1.2. Smart City Technologies
1.3. Smart City Models
1.4. Smart City Applications
1.5. Results and Discussion
1.6. Conclusion
1.7. Summary
Chapter 2: Benchmarking the Collaborative and Integrated Smart City Model with Industry 5.0: A Way Forward
2.1. Introduction
2.2. Related Work
2.3. Research Methodology
2.4. Review of Literature
2.5. Proposed ‘Super Smart City Model’
2.6. Issues and Challenges
2.7. Conclusion
Chapter 3: The Role of Internet of Things (IoT) in Smart City Framework
3.1. Introduction
3.2. Real-World Applications of IoT
3.3. IoT Application Deployment
3.4. Related Work
3.5. Security Risks in IoT
3.6. Improve Security Requirements
3.7. Best Practices of Security
3.8. Internet of Things Security Challenges
3.9. Conclusion
Chapter 4: Applications of the Internet of Things (IoT) in Smart Cities: A Step toward Innovation
4.1. Introduction
4.2. Related Work
4.3. Smart Cities Around The World
4.4. Conclusion
Chapter 5: Internet of Things (IoT)-Based Implementation of Smart Cities Using Emerging Technologies and Its Challenges
5.1. Introduction
5.2. Components of Smart Cities
5.3. Artificial Intelligence for Smart Cities
5.4. Challenges for Practical Implementation of a Smart City
5.5. Addressing Policies for Implementing Smart Based IoT
5.6. Conclusion
5.7. Future Scope
Chapter 6: Traffic Control Mechanism Using Internet of Things (IoT) in Smart City
6.1. Introduction
6.2. Traffic Classification in the Domain of IoT
6.3. IoT Device Development for Traffic Management System
6.4. Wireless Technologies for Traffic Management
6.5. Conclusion
Chapter 7: Effective Construction Site Monitoring Using Artificial Intelligence (AI)
7.1. Introduction
7.2. Background
7.3. Related Work
7.4. Research Methodology
7.5. Main Work Section
7.6. Conclusion
7.7. Future Scope
Chapter 8: Smart Healthcare: Emerging Technologies, Applications, Challenges, and Future Research Directions
8.1. Introduction
8.2. Taxonomy of Healthcare Design Abstraction Levels
8.3. Open Challenges and Future Directions
8.4. Conclusion
Chapter 9: Optimization of Contention Window for Vehicular Ad-Hoc Networks (VANET) Using Learning Algorithm
9.1. Introduction
9.2. Related Works
9.3. Proposed Work
9.4. Simulation Model and Results
9.5. Conclusion
Chapter 10: Human Emotion Recognition in Smart City Using Transfer Learning-Based Convolutional Neural Network (CNN) Model
10.1. Introduction
10.2. Literature Survey
10.3. Methodology
10.4. Results and Discussion
10.5. Conclusion and Future Scope
Chapter 11: Role of the Internet of Things (IoT) in Enhancing the Effectiveness of the Self-Help Groups (SHGs) in Smart City
11.1. Introduction
11.2. Related Work
11.3. Challenges Faced by the SHGs
11.4. Smart Cities and the Usefulness of IoT
11.5. Implementation of IoT Resolving The Challenges of The Self-Help Groups
11.6. Positive Impact of IoT on the Self-Help Groups in Odisha
11.7. Impact of IoT and the after-Effects among the Self-Help Groups in India
11.8. Conclusion
Chapter 12: Personalized Social-Collaborative IoT-Symbiotic Platforms in Smart Education Ecosystem
12.1. Introduction
12.2. Social-Collaborative Learning Model
12.3. Mobile Technology - The Symbiotic of IoT
12.4. Related Work
12.5. Data Analysis Technique
12.6. Results and Discussion
12.7. Conclusion
Chapter 13: Vehicle and Passenger Identification in Public Transportation to Fortify Smart City Indices
13.1. Introduction
13.2. Algorithms
13.3. Equipment
13.4. Policies
13.5. Protocols
13.6. Vehicle Identification and Smart City
13.7. Passenger Identification and Smart City
13.8. Conclusion
Chapter 14: 5G-Assisted UDV Networks Based on Energy-Efficient Optimal Route Scheduling for Smart City
14.1. Introduction
14.2. Related Work
14.3. UDV Communication
14.4. Problem Statement
14.5. System Model
14.6. Experimental and Comparative Study
14.7. Conclusion
Chapter 15: Role of Vehicular Ad Hoc Network-Aided Traffic Management in Smart City Development
15.1. Introduction
15.2. Smart City
15.3. Vehicular ad hoc Networks (VANETs)
15.4. Roles of VANETs in Smart Cities
15.5. Traffic Management with VANETs
15.6. Problem with Geographic Routing Protocol
15.7. Conclusion
Chapter 16: Big Data Analytics Tools, Challenges and Its Applications
16.1. Introduction
16.2. Big Data
16.3. Big Data Analytics
16.4. Big Data Analytics Tool
16.5. Application of Big Data Analytics
16.6. Conclusion
Chapter 17: Dual Access Control for Cloud-Based Data Storage and Sharing
17.1. Introduction
17.2. Characteristics of Cloud Computing
17.3. Literature Survey
17.4. Proposed Work
17.5. Implementation
17.6. Results and Discussion
17.7. Conclusion
Chapter 18: An Analysis of Securing Internet of Things (IoT) Devices from Man-in-the-Middle (MIMA) and Denial of Service (DoS)
18.1. Introduction
18.2. Architecture of IoT
18.3. IoT Applications Areas
18.4. Attacks on IoT
18.5. Mima Attacks in IoT
18.6. DoS Attacks in IoT
18.7. Mima Targets an IoT Network
18.8. DoS Targets an IoT Network
18.9. Some Possible Solutions to Avoid/Prevent Cyber Attacks
18.10. Conclusions
18.11. Results and Demonstrations
Chapter 19: Exploratory Analysis on Current Application-Layer HTTP-Payload-Based DDoS Attack on Internet of Things (IoT) Devices
19.1. Introduction
19.2. Related Work
19.3. HTTP Payload Injector DDoS Attacks
19.4. Survey Protocol
19.5. Results and Discussions
19.6. Limitations and Challenges
19.7. Conclusion
Chapter 20: Detection of Cyber Attacks in IoT-Based Smart Cities Using Integrated Chain Based Multiclass Support Vector Machine
20.1. Introduction
20.2. Problem Statement
20.3. Proposed Work
20.4. Experimental Result
20.5. Conclusion
Chapter 21: Treatment Solution of the Environmental Water Pollution for Smart City
21.1. Introduction
21.2. Environmental Pollution: Impact of PAH on Human Health
21.3. Materials and Methods
21.4. Combating Water Pollution in Smart Cities
21.5. Conclusion
Index