Handbook of Research of Internet of Things and Cyber-Physical Systems (eBook, PDF)
An Integrative Approach to an Interconnected Future
Redaktion: Tyagi, Amit Kumar; Sreenath, Niladhuri
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Handbook of Research of Internet of Things and Cyber-Physical Systems (eBook, PDF)
An Integrative Approach to an Interconnected Future
Redaktion: Tyagi, Amit Kumar; Sreenath, Niladhuri
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Discusses how integrating IoT devices and cyber-physical systems can be used for a multitude of applications, such as satellite imaging in relation to climate change, industrial control systems, e-healthcare applications, security uses, automotive and traffic monitoring and control, urban smart city planning, and more.
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Discusses how integrating IoT devices and cyber-physical systems can be used for a multitude of applications, such as satellite imaging in relation to climate change, industrial control systems, e-healthcare applications, security uses, automotive and traffic monitoring and control, urban smart city planning, and more.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 680
- Erscheinungstermin: 8. Juni 2022
- Englisch
- ISBN-13: 9781000565348
- Artikelnr.: 63656245
- Verlag: Taylor & Francis
- Seitenzahl: 680
- Erscheinungstermin: 8. Juni 2022
- Englisch
- ISBN-13: 9781000565348
- Artikelnr.: 63656245
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Amit Kumar Tyagi, PhD, is Senior Assistant Professor and Senior Researcher at the Vellore Institute of Technology, Chennai Campus, India. He was formerly affiliated with the Lord Krishna College of Engineering, Ghaziabad, India, and was formerly an Assistant Professor and Head of Research at Lingayäs Vidyapeeth (formerly known as Lingayäs University), Faridabad, Haryana, India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber-physical systems, smart and secure computing, and privacy. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to the privacy breaches in vehicular applications (such as parking) and medical cyber-physical systems. Also, he has published more than eight patents related to deep learning, Internet of Things, cyber-physical systems, and computer vision. Dr. Tyagi received his PhD degree from Pondicherry Central University, India. Niladhuri Sreenath, PhD, is Professor of the Department of Computer Science and Engineering at Puducherry Technological University, Puducherry, Tamil Nadu, India. His primary research interests lie in WDM optical networks and privacy and trust. He has published several journal articles, conferences papers, and book chapters. He obtained his PhD in Computer Science from the Indian Institute of Technology, Madras, India.
PART 1: A Journey for Understanding the Internet of Things and
Cyber-Physical Systems 1. Overview of the Role of Internet of Things and
Cyber-Physical Systems in Various Applications 2. Role of Internet of
Things and Cyber-Physical Systems in Applications in Various Sectors 3.
Comparative Case Study on Smart City versus Digital City PART 2: Methods,
Tools, and Algorithms for IoT-Based Cyber-Physical Systems 4. Securing
Future Autonomous Applications Using Cyber-Physical Systems and the
Internet of Things 5. Emerging Trends and Techniques in Machine Learning
and Internet of Things-Based Cloud Applications 6. An Efficient
Implementation of a Blockchain-Based Smart Grid 7. An Integration Approach
of an IoT and Cyber-Physical System for Security Perspective 8. Path
Planning and Optimization PART 3: Future with the Internet of Things and
Cyber-Physical Systems 9. Smart Cities and Urbanization: The Urge of
Machine Learning and IoT 10. Need for Lightweight Attribute-Based
Encryption (ABE) for Cloud-Based IoT 11. Internet of Things (IoT)-Enabled
Smart Bus Information System PART 4: Future Roadmap and Opportunities with
Internet of Things-Based Systems 12. A Roadmap Towards Robust IoT-Enabled
Cyber-Physical Systems in Cyber Industrial 4.0 13. Machine Learning-Based
Intrusion Detection for Internet of Things Network Traffic 14. A New
Compromising Security Framework for Automated Smart Homes Using VAPT 15.
Maneuvered Network Traffic Profiling PART 5: Security Requirements and
Issues with the Internet of Things and Cyber-Physical Systems 16. Security
Enhancement and Trust Management Algorithm in D2D (VANET) for 5G-Based
Network 17. Addressing the Security, Privacy, and Trust Issues in
IoT-Enabled CPS 18. Security and Privacy Aspects in the Internet of Things
(IoT) and Cyber-Physical Systems (CPS) 19. Security Outlook of IoT-Cloud
Integration with 5G Networks 20. Security Threats in IoT with Special
Emphasis on Blockchain PART 6: Challenges in the Future for the Internet of
Things and Cyber-Physical Systems 21. Challenges for Sustainable
Development in Industry 4.0 22. Opportunities and Challenges of
Cyber-Physical Transportation Systems 23. Data Science and Data Analytics
for IoT Tools c
Cyber-Physical Systems 1. Overview of the Role of Internet of Things and
Cyber-Physical Systems in Various Applications 2. Role of Internet of
Things and Cyber-Physical Systems in Applications in Various Sectors 3.
Comparative Case Study on Smart City versus Digital City PART 2: Methods,
Tools, and Algorithms for IoT-Based Cyber-Physical Systems 4. Securing
Future Autonomous Applications Using Cyber-Physical Systems and the
Internet of Things 5. Emerging Trends and Techniques in Machine Learning
and Internet of Things-Based Cloud Applications 6. An Efficient
Implementation of a Blockchain-Based Smart Grid 7. An Integration Approach
of an IoT and Cyber-Physical System for Security Perspective 8. Path
Planning and Optimization PART 3: Future with the Internet of Things and
Cyber-Physical Systems 9. Smart Cities and Urbanization: The Urge of
Machine Learning and IoT 10. Need for Lightweight Attribute-Based
Encryption (ABE) for Cloud-Based IoT 11. Internet of Things (IoT)-Enabled
Smart Bus Information System PART 4: Future Roadmap and Opportunities with
Internet of Things-Based Systems 12. A Roadmap Towards Robust IoT-Enabled
Cyber-Physical Systems in Cyber Industrial 4.0 13. Machine Learning-Based
Intrusion Detection for Internet of Things Network Traffic 14. A New
Compromising Security Framework for Automated Smart Homes Using VAPT 15.
Maneuvered Network Traffic Profiling PART 5: Security Requirements and
Issues with the Internet of Things and Cyber-Physical Systems 16. Security
Enhancement and Trust Management Algorithm in D2D (VANET) for 5G-Based
Network 17. Addressing the Security, Privacy, and Trust Issues in
IoT-Enabled CPS 18. Security and Privacy Aspects in the Internet of Things
(IoT) and Cyber-Physical Systems (CPS) 19. Security Outlook of IoT-Cloud
Integration with 5G Networks 20. Security Threats in IoT with Special
Emphasis on Blockchain PART 6: Challenges in the Future for the Internet of
Things and Cyber-Physical Systems 21. Challenges for Sustainable
Development in Industry 4.0 22. Opportunities and Challenges of
Cyber-Physical Transportation Systems 23. Data Science and Data Analytics
for IoT Tools c
PART 1: A Journey for Understanding the Internet of Things and
Cyber-Physical Systems 1. Overview of the Role of Internet of Things and
Cyber-Physical Systems in Various Applications 2. Role of Internet of
Things and Cyber-Physical Systems in Applications in Various Sectors 3.
Comparative Case Study on Smart City versus Digital City PART 2: Methods,
Tools, and Algorithms for IoT-Based Cyber-Physical Systems 4. Securing
Future Autonomous Applications Using Cyber-Physical Systems and the
Internet of Things 5. Emerging Trends and Techniques in Machine Learning
and Internet of Things-Based Cloud Applications 6. An Efficient
Implementation of a Blockchain-Based Smart Grid 7. An Integration Approach
of an IoT and Cyber-Physical System for Security Perspective 8. Path
Planning and Optimization PART 3: Future with the Internet of Things and
Cyber-Physical Systems 9. Smart Cities and Urbanization: The Urge of
Machine Learning and IoT 10. Need for Lightweight Attribute-Based
Encryption (ABE) for Cloud-Based IoT 11. Internet of Things (IoT)-Enabled
Smart Bus Information System PART 4: Future Roadmap and Opportunities with
Internet of Things-Based Systems 12. A Roadmap Towards Robust IoT-Enabled
Cyber-Physical Systems in Cyber Industrial 4.0 13. Machine Learning-Based
Intrusion Detection for Internet of Things Network Traffic 14. A New
Compromising Security Framework for Automated Smart Homes Using VAPT 15.
Maneuvered Network Traffic Profiling PART 5: Security Requirements and
Issues with the Internet of Things and Cyber-Physical Systems 16. Security
Enhancement and Trust Management Algorithm in D2D (VANET) for 5G-Based
Network 17. Addressing the Security, Privacy, and Trust Issues in
IoT-Enabled CPS 18. Security and Privacy Aspects in the Internet of Things
(IoT) and Cyber-Physical Systems (CPS) 19. Security Outlook of IoT-Cloud
Integration with 5G Networks 20. Security Threats in IoT with Special
Emphasis on Blockchain PART 6: Challenges in the Future for the Internet of
Things and Cyber-Physical Systems 21. Challenges for Sustainable
Development in Industry 4.0 22. Opportunities and Challenges of
Cyber-Physical Transportation Systems 23. Data Science and Data Analytics
for IoT Tools c
Cyber-Physical Systems 1. Overview of the Role of Internet of Things and
Cyber-Physical Systems in Various Applications 2. Role of Internet of
Things and Cyber-Physical Systems in Applications in Various Sectors 3.
Comparative Case Study on Smart City versus Digital City PART 2: Methods,
Tools, and Algorithms for IoT-Based Cyber-Physical Systems 4. Securing
Future Autonomous Applications Using Cyber-Physical Systems and the
Internet of Things 5. Emerging Trends and Techniques in Machine Learning
and Internet of Things-Based Cloud Applications 6. An Efficient
Implementation of a Blockchain-Based Smart Grid 7. An Integration Approach
of an IoT and Cyber-Physical System for Security Perspective 8. Path
Planning and Optimization PART 3: Future with the Internet of Things and
Cyber-Physical Systems 9. Smart Cities and Urbanization: The Urge of
Machine Learning and IoT 10. Need for Lightweight Attribute-Based
Encryption (ABE) for Cloud-Based IoT 11. Internet of Things (IoT)-Enabled
Smart Bus Information System PART 4: Future Roadmap and Opportunities with
Internet of Things-Based Systems 12. A Roadmap Towards Robust IoT-Enabled
Cyber-Physical Systems in Cyber Industrial 4.0 13. Machine Learning-Based
Intrusion Detection for Internet of Things Network Traffic 14. A New
Compromising Security Framework for Automated Smart Homes Using VAPT 15.
Maneuvered Network Traffic Profiling PART 5: Security Requirements and
Issues with the Internet of Things and Cyber-Physical Systems 16. Security
Enhancement and Trust Management Algorithm in D2D (VANET) for 5G-Based
Network 17. Addressing the Security, Privacy, and Trust Issues in
IoT-Enabled CPS 18. Security and Privacy Aspects in the Internet of Things
(IoT) and Cyber-Physical Systems (CPS) 19. Security Outlook of IoT-Cloud
Integration with 5G Networks 20. Security Threats in IoT with Special
Emphasis on Blockchain PART 6: Challenges in the Future for the Internet of
Things and Cyber-Physical Systems 21. Challenges for Sustainable
Development in Industry 4.0 22. Opportunities and Challenges of
Cyber-Physical Transportation Systems 23. Data Science and Data Analytics
for IoT Tools c