Securing Cyber-Physical Systems : Fundamentals, Applications and Challenges.

Format:

Book

Author/Creator:

Ananthajothi, K.

Contributor:

Sangeethaa, S. N.

Divya, D.

Pālamurukan̲, Ca.

Peng, Sheng-Lung.

Series:

Industry 5. 0 Transformation Applications Series

Language:

English

Subjects (All):

Computer security.

Physical Description:

1 online resource (399 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2025.

Summary:

Protect critical infrastructure from emerging threats with this essential guide, providing an in-depth exploration of innovative defense strategies and practical solutions for securing cyber-physical systems.

Contents:

Cover

Series Page

Title Page

Copyright Page

Contents

Preface

Chapter 1 Enhancing Safety and Security in Autonomous Connected Vehicles: Fusion of Optimal Control With Multi-Armed Bandit Learning

1.1 Background

1.1.1 Problem Statement

1.1.2 Motivation

1.2 Related Works

1.2.1 Contributions

1.2.2 Centralized CRN Scheduling

1.2.3 Multi-Armed Bandit (MAB)

1.2.4 Bandit Learning with Switching Costs

1.3 System Model

1.3.1 Resource Spectrum

1.3.2 CRs' Spectrum Utilization Schemes

1.3.3 CBS Scheduling

1.3.4 PUs' Activity

1.4 Outcomes

1.4.1 Scenario I: Fallen Traffic Signs

1.4.2 Scenario II: Traffic Signs Alert by the Road Workers

1.4.3 Scenario III: Back/Rotated Traffic Sign Across the Road

1.4.4 Scenario IV: Hacking of a Stop Sign at a Four-Way Stop Intersection

1.5 Conclusions and Future Enhancement

1.5.1 Conclusions

1.5.2 Future Directions

References

Chapter 2 Secure Data Handling in AI and Proactive Response Network: Create a Physical Layer-Proposed Cognitive Cyber-Physical Security

2.1 Introduction

2.1.1 The Role of AI in Cybersecurity

2.1.2 Usage of CCPS in IoT

2.2 Challenges and Mechanisms

2.2.1 Brief Account of Challenges Faced

2.2.2 Innovative Mechanisms

2.3 Using AI to Support Cognitive Cybersecurity

2.3.1 Cognitive Systems

2.3.2 AI in IoT

2.4 Create a Physical Layer-Proposed CCPS

2.4.1 Create a Physical Layer-Proposed CCPS in Healthcare Application

2.4.1.1 Privacy-Aware Collaboration

2.4.1.2 Cycle Model of CCPS

2.4.1.3 Dynamic Security Knowledge Base

2.4.2 Method for Secure Data Handling

2.5 Road Map of Implementation

2.5.1 AI for CCPS-IoT

2.5.2 AI-Enabled Wireless CCPS-IoT to Provide Security

2.6 Conclusions and Future Enhancement

Future Directions

References.

Chapter 3 Intelligent Cognitive Cyber-Physical System-Based Intrusion Detection for AI-Enabled Security in Industry 4.0

3.1 Introduction

3.1.1 Cyber-Physical Systems

3.1.2 Intelligent Cyber-Physical Systems (ISPS)

3.1.3 Cognitive Cyber-Physical Systems (CCPS)

3.1.4 IDS in Industry 4.0 Using iCCPS

3.1.5 AI in iCCPS-IDS

3.2 Problem Statement

3.3 Motivation

3.4 Research Gap

3.5 Methodology

3.5.1 Training Dataset

3.5.2 Information for Assessment and Instruction

3.5.3 Model

3.5.4 CPS Determined by Cognition Agents

3.5.5 Useful Implementation of the Actual Device

3.6 Importance and Impact of AI-Based Intrusion Detection in iCCPS in Industry 4.0

3.6.1 Need

3.6.2 Challenges

3.7 Conclusions and Future Directions

Chapter 4 Resilient Cognitive Cyber-Physical Systems: Conceptual Frameworks, Models, and Implementation Strategies

4.1 Introduction

4.1.1 Problem Statement

4.1.2 Motivation

4.2 Materials and Methods

4.3 CCPS Design Challenges

4.4 Cyber-Physical Systems Principles and Paradigms

4.4.1 CCPS Conceptual Framework

4.4.2 CCPS Modeling

4.4.3 Other Modeling Issues in CCPS

4.5 Conclusions and Future Enhancements

4.5.1 Future Enhancements

Chapter 5 Cognitive Cyber-Physical Security Challenges, Issues, and Recent Trends Over IoT

5.1 Introduction

5.1.1 From IoT to CCPS-IoT

5.1.2 Fundamental Cognitive Tasks

5.2 Motivation and Challenges

5.2.1 Motivation

5.2.2 Challenges

5.3 Security

5.3.1 Physical Layer Attacks

5.3.2 Physical Layer Security

5.3.3 Main Constituents

5.4 Research Gap

5.5 An Automatic Security Manager for CCPS Using IoT

5.5.1 Combatting Erroneous Estimations

5.5.2 Detection and Classification

5.6 Conclusions and Future Enhancement

Future Enhancement

Chapter 6 Cognitive Cyber-Physical Security With IoT: A Solution to Smart Healthcare System

6.1 Introduction

6.1.1 Motivation

6.1.2 Need and Contribution

6.1.2.1 Need

6.1.2.2 Contribution

6.2 Medical CCPS with IoT

6.2.1 IoT Device for AI Solution

6.2.2 Traditional Bio-Modality Spoofing Detection

6.2.3 MCPS Using AI Device

6.3 Functional and Behavioral Perspectives

6.4 Modeling and Verification Methods of MCPS

6.4.1 MCPS Modeling Based on ICE

6.4.2 MCPS Modeling Based on Component

6.5 Artificial Intelligence for Cognitive Cybersecurity

6.5.1 Privacy-Aware Collaboration

6.5.2 Cognitive Security Cycle Model

6.6 Conclusions and Future Direction

6.6.1 Conclusions

6.6.2 Future Directions

Chapter 7 Cognitive Cyber-Physical Security with IoT and ML: Role of Cybersecurity, Threats, and Benefits to Modern Economies and Industries

7.1 Introduction

7.1.1 Key Contributions

7.1.2 Problem Statement

7.1.3 Motivation

7.2 CCPS Associated with IoT

7.2.1 Reasons in Favor of Cognitive Analytics

7.2.2 Analyses of Current Cyber Risk Data

7.3 Materials and Methods

7.3.1 Role of Cybersecurity in CCPS with IoT and ML

7.3.2 ML in Cognitive Cyber-Physical Security with IoT

7.3.3 Threats to Modern Economies and Industries

7.3.4 Benefits to Modern Economies and Industries

7.4 Outcomes

7.4.1 AI-Enabled Management Technology and Approach Taxonomy

7.4.2 Essential Self-Adapting System Technologies

7.4.3 Attack Malware Classifier

7.5 Conclusions and Future Direction

Chapter 8 A Safety Analysis Framework for Medical Cyber-Physical Systems Using Systems Theory

8.1 Introduction

8.2 Background

8.2.1 Cyber-Physical Systems

8.2.2 Quality-of-Service Issues in CPS

8.2.3 Medical Cyber-Physical Systems.

8.3 The Systems-Based Safety Analysis Observation for MCPS

8.3.1 Identification of Critical Requirements in MCPS

8.3.2 A Systems Theory-Based Method for Safety Analysis in Medical Cyber-Physical Systems

8.3.3 MCPS in Patient-Controlled Analgesia

8.4 Improved Wireless Medical Cyber-Physical System (IWMCPS)

8.4.1 Level: Data Acquisition

8.4.2 Layer: Data Aggregating

8.4.3 Level: Storing

8.4.4 Level: Action

8.4.5 IWMCPS Architectural Research

8.4.6 Core of Communications and Sensors

8.5 Hazard Analysis on PCA-MCPS

8.5.1 System Safety Constraint

8.5.2 System Safety Control Structure

8.5.3 Identify Unsafe Control Actions

8.5.4 Specifying Causes

8.6 Conclusions and Future Directions

Chapter 9 Cognitive Cybersecurity and Reinforcement Learning: Enhancing Security in CPS-IoT Enabled Healthcare

9.1 Introduction

9.2 Methodology

9.2.1 Device AI Solutions

9.2.2 Detect the Spoofing of Bio-Modality

9.2.3 Detect the Spoofing of Bio-Modality Using Machine Learning

9.3 Challenges and Mechanisms

9.3.1 Challenges

9.3.2 Innovative Mechanisms

9.4 Cognitive Cyber-Physical Systems and Reinforcement Learning

9.4.1 Model Formulation

9.4.2 AI in CCPS

9.4.2.1 Privacy-Aware Collaboration

9.4.2.2 Cognitive Security Cycle Model

9.4.2.3 Need

9.4.2.4 Cross-Sectoral Techniques

9.4.2.5 Actuation and Data Collection

9.5 Conclusions and Future Directions

9.6 Future Directions

Chapter 10 Navigating the Digital Landscape: Understanding, Detecting, and Mitigating Cyber Threats in an Evolving Technological Era

10.1 The Digital Transformation: Shaping Modern Business Dynamics

10.2 Impact of COVID-19: Accelerating the Digital Shift

10.3 Online Safety Concerns: Navigating the Digital Landscape.

10.4 Interplay of Digital Technologies: Vulnerabilities and Threats

10.4.1 Introduction to Digital Technologies

10.4.2 Case Studies and Examples

10.5 Rise of Cyber Assaults as a Service: Automating Criminal Activities

10.6 Evolving Threat Landscape: Understanding Modern Cyber Attacks

10.7 Beyond Conventional Security Measures: The Need for Advanced Defense

10.8 Rise of Cyber Assaults as a Service: Automating Criminal Activities

10.8.1 Introduction to Cyber Assaults as a Service

10.8.2 Automation of Criminal Activities

10.8.3 Impact and Implications

10.9 Evolving Threat Landscape: Understanding Modern Cyber Attacks

10.9.1 Types of Modern Cyber Attacks

10.9.2 Implications for Cybersecurity Defense

10.10 Beyond Conventional Security Measures: The Need for Advanced Defense

10.10.1 Challenges with Conventional Security Measures

10.10.2 The Evolution of Advanced Defense

10.11 Uncovering Cyber Threats: Patterns, Trends, and Detection Methods

10.11.1 Patterns of Cyber Threats

10.12 Addressing Advanced Persistent Threats: Challenges and Solutions

10.12.1 Introduction to Advanced Persistent Threats (APTs)

10.12.2 Challenges Posed by APTs

10.12.3 Solutions for Addressing APTs

Chapter 11 Defense Strategies for Cyber-Physical Systems

11.1 Introduction

11.2 Threat Landscape in CPS

11.3 Advanced Defense Strategies

11.3.1 Anomaly Detection in CPS

11.3.2 Secure Communication Protocols

11.3.3 Machine Learning-Driven Defenses

11.3.4 Zero Trust Model for CPS

11.3.5 Resilience Techniques for CPS

11.3.6 Intensive Training and Awareness

11.3.7 Conclusion and Future Directions

Chapter 12 Cybersecurity in the Era of Artificial Intelligence: Challenges and Innovations

12.1 Introduction to Cybersecurity Analysis

12.2 Need for AI in Cybersecurity.

12.3 Current Cybersecurity Techniques.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-394-28775-5

1-394-28776-3

1-394-28774-7

9781394287741

OCLC:

1547118672