11 CPS: cyber-physical system security for the Industrial Internet of Things in smart grid
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Mohammad Kamrul Hasan
Abstracts
Cyber-physical systems (CPS) are closed-loop systems of interdependent cyber and physical domains. They are often discussed together with the Internet of Things (IoT). Together they form the technological building blocks of Industry 4.0, which is characterized by decentralized embedded systems that handle real-time data to improve all industrial processes stages. Because of the increasing implementation of CPS in industrial IoT, however, CPS for industrial IoT (IIoT) has been one of prior research interests to the researcher due to severe vulnerabilities and cyberattacks. Many approaches and methods have been presented to tackle the cyberattacks and vulnerabilities present in IIoT cyber-physical systems. Thus, this article has analyzed and compared the security levels, attacking models, and vulnerabilities in IIoT cyber-physical systems in smart grid (SG). Several solutions for cyberattack detection, targeting different types of attacks in various CPS applications in IIoT, are also discussed, where key features with their advantages and limitations are identified. Finally, a comparison of all solutions is discussed for highlighting the recent advancement, attacking models, features, and issues. This article also provides some recommendations and discussions for future SG trends.
Abstracts
Cyber-physical systems (CPS) are closed-loop systems of interdependent cyber and physical domains. They are often discussed together with the Internet of Things (IoT). Together they form the technological building blocks of Industry 4.0, which is characterized by decentralized embedded systems that handle real-time data to improve all industrial processes stages. Because of the increasing implementation of CPS in industrial IoT, however, CPS for industrial IoT (IIoT) has been one of prior research interests to the researcher due to severe vulnerabilities and cyberattacks. Many approaches and methods have been presented to tackle the cyberattacks and vulnerabilities present in IIoT cyber-physical systems. Thus, this article has analyzed and compared the security levels, attacking models, and vulnerabilities in IIoT cyber-physical systems in smart grid (SG). Several solutions for cyberattack detection, targeting different types of attacks in various CPS applications in IIoT, are also discussed, where key features with their advantages and limitations are identified. Finally, a comparison of all solutions is discussed for highlighting the recent advancement, attacking models, features, and issues. This article also provides some recommendations and discussions for future SG trends.
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents VII
- List of contributors IX
- 1 Leveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases 1
- 2 Digital dawn: how immersive technologies are shaping a sustainable future 37
- 3 Sustainable intelligence: ethical issues in the evolution of intelligent systems 57
- 4 Energy sustainability and computational intelligence based routing protocols in WSN: an analytical survey 75
- 5 Harnessing the metaverse for healthcare innovation: exploring predictive analytics and AI-driven personalization 91
- 6 Toward a sustainable future: a computational intelligence fusion framework of color and darknet features for the classification of crop leaf diseases 109
- 7 Sustainable computing approaches for complex medical image analysis: a neurodiagnostic perspective 139
- 8 Sustainability with artificial intelligence: obstacles, opportunities, and research agenda 161
- 9 Smart solutions to a sustainable future 177
- 10 Ethical issues in intelligent systems for sustainability 195
- 11 CPS: cyber-physical system security for the Industrial Internet of Things in smart grid 215
- 12 Integrating mathematical computing and deep learning for efficient monkeypox skin lesion detection: A pathway to sustainable health solutions 253
- 13 Leveraging heuristics based on CK Metrics Suite for quality enhancement in sustainable quantum software development 271
- 14 Intelligent systems for fire management and sustainability 297
- 15 Transparent and sustainable AI for brain tumor detection: from conventional to hybrid models in predictive healthcare 323
- Index 349
- Mathematical Methods in the Digital Age
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents VII
- List of contributors IX
- 1 Leveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases 1
- 2 Digital dawn: how immersive technologies are shaping a sustainable future 37
- 3 Sustainable intelligence: ethical issues in the evolution of intelligent systems 57
- 4 Energy sustainability and computational intelligence based routing protocols in WSN: an analytical survey 75
- 5 Harnessing the metaverse for healthcare innovation: exploring predictive analytics and AI-driven personalization 91
- 6 Toward a sustainable future: a computational intelligence fusion framework of color and darknet features for the classification of crop leaf diseases 109
- 7 Sustainable computing approaches for complex medical image analysis: a neurodiagnostic perspective 139
- 8 Sustainability with artificial intelligence: obstacles, opportunities, and research agenda 161
- 9 Smart solutions to a sustainable future 177
- 10 Ethical issues in intelligent systems for sustainability 195
- 11 CPS: cyber-physical system security for the Industrial Internet of Things in smart grid 215
- 12 Integrating mathematical computing and deep learning for efficient monkeypox skin lesion detection: A pathway to sustainable health solutions 253
- 13 Leveraging heuristics based on CK Metrics Suite for quality enhancement in sustainable quantum software development 271
- 14 Intelligent systems for fire management and sustainability 297
- 15 Transparent and sustainable AI for brain tumor detection: from conventional to hybrid models in predictive healthcare 323
- Index 349
- Mathematical Methods in the Digital Age
