Cyber-Physical Systems

Book description

CYBER-PHYSICAL SYSTEMS

The 13 chapters in this book cover the various aspects associated with Cyber-Physical Systems (CPS) such as algorithms, application areas, and the improvement of existing technology such as machine learning, big data and robotics.

Cyber-Physical Systems (CPS) is the interconnection of the virtual or cyber and the physical system. It is realized by combining three well-known technologies, namely “Embedded Systems,” “Sensors and Actuators,” and “Network and Communication Systems.” These technologies combine to form a system known as CPS. In CPS, the physical process and information processing are so tightly connected that it is hard to distinguish the individual contribution of each process from the output. Some exciting innovations such as autonomous cars, quadcopter, spaceships, sophisticated medical devices fall under CPS.

The scope of CPS is tremendous. In CPS, one sees the applications of various emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), machine learning (ML), deep learning (DL), big data (BD), robotics, quantum technology, etc. In almost all sectors, whether it is education, health, human resource development, skill improvement, startup strategy, etc., one sees an enhancement in the quality of output because of the emergence of CPS into the field.

Audience
Researchers in Information technology, artificial intelligence, robotics, electronics and electrical engineering.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. Acknowledgement
  6. 1 A Systematic Literature Review on Cyber Security Threats of Industrial Internet of Things
    1. 1.1 Introduction
    2. 1.2 Background of Industrial Internet of Things
    3. 1.3 Literature Review
    4. 1.4 The Proposed Methodology
    5. 1.5 Experimental Requirements
    6. 1.6 Conclusion
    7. References
  7. 2 Integration of Big Data Analytics Into Cyber-Physical Systems
    1. 2.1 Introduction
    2. 2.2 Big Data Model for Cyber-Physical System
    3. 2.3 Big Data and Cyber-Physical System Integration
    4. 2.4 Storage and Communication of Big Data for Cyber-Physical System
    5. 2.5 Big Data Processing in Cyber-Physical System
    6. 2.6 Applications of Big Data for Cyber-Physical System
    7. 2.7 Security and Privacy
    8. 2.8 Conclusion
    9. References
  8. 3 Machine Learning: A Key Towards Smart Cyber-Physical Systems
    1. 3.1 Introduction
    2. 3.2 Different Machine Learning Algorithms
    3. 3.3 ML Use-Case in MATLAB
    4. 3.4 ML Use-Case in Python
    5. 3.5 Conclusion
    6. References
  9. 4 Precise Risk Assessment and Management
    1. 4.1 Introduction
    2. 4.2 Need for Security
    3. 4.3 Different Kinds of Attacks
    4. 4.4 Literature Survey
    5. 4.5 Proposed Work
    6. 4.6 Conclusion
    7. References
  10. 5 A Detailed Review on Security Issues in Layered Architectures and Distributed Denial Service of Attacks Over IoT Environment
    1. 5.1 Introduction
    2. 5.2 IoT Components, Layered Architectures, Security Threats
    3. 5.3 Taxonomy of DDoS Attacks and Its Working Mechanism in IoT
    4. 5.4 Existing Solution Mechanisms Against DDoS Over IoT
    5. 5.5 Challenges and Research Directions
    6. 5.6 Conclusion
    7. References
  11. 6 Machine Learning and Deep Learning Techniques for Phishing Threats and Challenges
    1. 6.1 Introduction
    2. 6.2 Phishing Threats
    3. 6.3 Deep Learning Architectures
    4. 6.4 Related Work
    5. 6.5 Analysis Report
    6. 6.6 Current Challenges
    7. 6.7 Conclusions
    8. References
  12. 7 Novel Defending and Prevention Technique for Man-in-the-Middle Attacks in Cyber-Physical Networks
    1. 7.1 Introduction
    2. 7.2 Literature Review
    3. 7.3 Classification of Attacks
    4. 7.4 Proposed Algorithm of Detection and Prevention
    5. 7.5 Results and Discussion
    6. 7.6 Conclusion and Future Scope
    7. References
  13. 8 Fourth Order Interleaved Boost Converter With PID, Type II and Type III Controllers for Smart Grid Applications
    1. 8.1 Introduction
    2. 8.2 Modeling of Fourth Order Interleaved Boost Converter
    3. 8.3 Controller Design for FIBC
    4. 8.4 Computational Results
    5. 8.5 Conclusion
    6. References
  14. 9 Industry 4.0 in Healthcare IoT for Inventory and Supply Chain Management
    1. 9.1 Introduction
    2. 9.2 Benefits and Barriers in Implementation of RFID
    3. 9.3 IoT-Based Inventory Management—Case Studies
    4. 9.4 Proposed Model for RFID-Based Hospital Management
    5. 9.5 Conclusion and Future Scope
    6. References
  15. 10 A Systematic Study of Security of Industrial IoT
    1. 10.1 Introduction
    2. 10.2 Overview of Industrial Internet of Things (Smart Manufacturing)
    3. 10.3 Industrial Reference Architecture
    4. 10.4 FIWARE Generic Enabler (FIWARE GE)
    5. 10.5 Discussion
    6. 10.6 Conclusion
    7. References
  16. 11 Investigation of Holistic Approaches for Privacy Aware Design of Cyber-Physical Systems
    1. 11.1 Introduction
    2. 11.2 Popular Privacy Design Recommendations
    3. 11.3 Current Privacy Challenges in CPS
    4. 11.4 Privacy Aware Design for CPS
    5. 11.5 Limitations
    6. 11.6 Converting Risks of Applying AI Into Advantages
    7. 11.7 Conclusion and Future Scope
    8. References
  17. 12 Exposing Security and Privacy Issues on Cyber-Physical Systems
    1. 12.1 Introduction to Cyber-Physical Systems (CPS)
    2. 12.2 Cyber-Attacks and Security in CPS
    3. 12.3 Privacy in CPS
    4. 12.4 Conclusion & Future Trends in CPS Security
    5. References
  18. 13 Applications of Cyber-Physical Systems
    1. 13.1 Introduction
    2. 13.2 Applications of Cyber-Physical Systems
    3. 13.3 Conclusion
    4. References
  19. Index
  20. End User License Agreement

Product information

  • Title: Cyber-Physical Systems
  • Author(s): Parma Nand, Uzzal Sharma, Jyotir Moy Chatterjee, Vishal Jain, Noor Zaman Jhanjhi, R. Sujatha
  • Release date: July 2022
  • Publisher(s): Wiley-Scrivener
  • ISBN: 9781119836193