Diagnosability Security and Safety of Hybrid Dynamic and Cyber Physical Systems 1st ediiton by Moamar Sayed Mouchaweh ISBN 3319749617 ‎ 978-3319749617

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ISBN 10: 3319749617
ISBN 13: ‎ 978-3319749617
Author: Moamar Sayed-Mouchaweh

Cyber-physical systems (CPS) are characterized as a combination of physical (physical plant, process, network) and cyber (software, algorithm, computation) components whose operations are monitored, controlled, coordinated, and integrated by a computing and communicating core. The interaction between both physical and cyber components requires tools allowing analyzing and modeling both the discrete and continuous dynamics. Therefore, many CPS can be modeled as hybrid dynamic systems in order to take into account both discrete and continuous behaviors as well as the interactions between them. Guaranteeing the security and safety of CPS is a challenging task because of the inherent interconnected and heterogeneous combination of behaviors (cyber/physical, discrete/continuous) in these systems. This book presents recent and advanced approaches and tech-niques that address the complex problem of analyzing the diagnosability property of cyber physical systems and ensuring their securityand safety against faults and attacks. The CPS are modeled as hybrid dynamic systems using different model-based and data-driven approaches in different application domains (electric transmission networks, wireless communication networks, intrusions in industrial control systems, intrusions in production systems, wind farms etc.). These approaches handle the problem of ensuring the security of CPS in presence of attacks and verifying their diagnosability in presence of different kinds of uncertainty (uncertainty related to the event occurrences, to their order of occurrence, to their value etc.).

Diagnosability, Security & Safety of Hybrid Dynamic & Cyber Physical Systems 1st  Table of contents:

Preface

• Introduction to Hybrid Dynamic and Cyber-Physical Systems (CPS)
• Importance of Diagnosability, Security, and Safety
• Structure of the Book

Chapter 1: Introduction to Hybrid Dynamic Systems

• Definition of Hybrid Dynamic Systems
• Characteristics and Components
• Modeling Hybrid Dynamic Systems
• Examples of Hybrid Dynamic Systems in Real-World Applications

Chapter 2: Overview of Cyber-Physical Systems (CPS)

• What are Cyber-Physical Systems?
• The Interplay Between the Cyber and Physical Worlds
• Key Challenges in CPS Design and Operation
• CPS in Critical Infrastructure and Autonomous Systems

Chapter 3: Diagnosability in Hybrid and CPS

• Defining Diagnosability in the Context of Hybrid Systems
• Fault Detection and Diagnosis Methods
• Model-Based and Data-Driven Approaches to Diagnosability
• Diagnosability for Complex Systems: Case Studies

Chapter 4: Security Challenges in Hybrid Dynamic and CPS

• The Need for Cybersecurity in CPS
• Vulnerabilities and Threats in Hybrid Dynamic Systems
• Security Challenges in Autonomous and Semi-Autonomous Systems
• Secure Communication and Data Privacy in CPS

Chapter 5: Safety in Hybrid Dynamic and Cyber-Physical Systems

• Defining Safety in Hybrid and CPS
• Safety Standards and Regulatory Requirements
• Methods for Safety Assessment and Risk Analysis
• Safety and Security Integration in CPS

Chapter 6: Fault Tolerance and Resilience in Hybrid Systems

• Principles of Fault Tolerance in Hybrid and CPS
• Redundancy, Recovery, and Resilient System Design
• Handling Faults in Critical Systems (e.g., Automotive, Energy)
• Case Studies in Fault-Tolerant Systems

Chapter 7: Modeling and Simulation Techniques for Diagnosability and Safety

• Tools and Techniques for Modeling Hybrid Dynamic Systems
• Simulation of Safety and Security Scenarios in CPS
• Model Verification and Validation for Diagnosability and Safety
• Use of Simulation in Testing and Optimization

Chapter 8: Security and Safety Standards for Hybrid and CPS

• International Standards for Security and Safety in CPS (e.g., ISO 26262, IEC 61508)
• Regulatory Requirements for Autonomous and Cyber-Physical Systems
• Security and Safety Assurance Methods
• Industry Best Practices

Chapter 9: Real-Time Monitoring and Diagnosis in Hybrid Systems

• Techniques for Real-Time Fault Detection and Diagnosis
• Use of Sensors and Monitoring Tools in Hybrid CPS
• Data Analytics and Machine Learning in Diagnosis
• Implementing Real-Time Monitoring for Safety and Security

Chapter 10: Future Trends in Diagnosability, Security, and Safety of Hybrid and CPS

• Emerging Technologies and Their Impact on Diagnosability and Security
• Artificial Intelligence and Machine Learning in CPS Security
• The Role of Blockchain in CPS Security and Data Integrity
• Challenges and Opportunities in the Future of CPS

Appendices

• Glossary of Terms and Acronyms
• Key Standards and Regulations in Hybrid and CPS Security and Safety
• Additional Resources for Further Reading

Index

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