Book description
CYBER-PHYSICAL SYSTEMSThe 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
- Cover
- Title Page
- Copyright
- Preface
- Acknowledgement
- 1 A Systematic Literature Review on Cyber Security Threats of Industrial Internet of Things
-
2 Integration of Big Data Analytics Into Cyber-Physical Systems
- 2.1 Introduction
- 2.2 Big Data Model for Cyber-Physical System
- 2.3 Big Data and Cyber-Physical System Integration
- 2.4 Storage and Communication of Big Data for Cyber-Physical System
- 2.5 Big Data Processing in Cyber-Physical System
- 2.6 Applications of Big Data for Cyber-Physical System
- 2.7 Security and Privacy
- 2.8 Conclusion
- References
- 3 Machine Learning: A Key Towards Smart Cyber-Physical Systems
- 4 Precise Risk Assessment and Management
- 5 A Detailed Review on Security Issues in Layered Architectures and Distributed Denial Service of Attacks Over IoT Environment
- 6 Machine Learning and Deep Learning Techniques for Phishing Threats and Challenges
- 7 Novel Defending and Prevention Technique for Man-in-the-Middle Attacks in Cyber-Physical Networks
- 8 Fourth Order Interleaved Boost Converter With PID, Type II and Type III Controllers for Smart Grid Applications
- 9 Industry 4.0 in Healthcare IoT for Inventory and Supply Chain Management
- 10 A Systematic Study of Security of Industrial IoT
- 11 Investigation of Holistic Approaches for Privacy Aware Design of Cyber-Physical Systems
- 12 Exposing Security and Privacy Issues on Cyber-Physical Systems
- 13 Applications of Cyber-Physical Systems
- Index
- End User License Agreement
Product information
- Title: Cyber-Physical Systems
- Author(s):
- Release date: July 2022
- Publisher(s): Wiley-Scrivener
- ISBN: 9781119836193
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