The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems.

Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field.

By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.

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Yes, you can access Industrial Internet of Things Security by Sunil Kumar Chawla,Neha Sharma,Ahmed A. Elngar,Prasenjit Chatterjee,P. Naga Srinivasu in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Computer Engineering

Index

Computer Science

Cover Page
Half-Title Page
Series Page
Title Page
Copyright Page
Contents
Preface
About the Editors
List of Contributors
Chapter 1 Protecting AI-Enabled Industrial Engineering in Cloud and Edge Environments
Chapter 2 Industrial Internet of Things Security Architecture and Protection Techniques
Chapter 3 Risk Management in IIoT
Chapter 4 Data Security for Industrial Internet of Things: An Essential Perspective for Industrial Engineering
Chapter 5 Navigating Compliance for the Industrial IoT Landscape: Frameworks, Security, Standards, and Key Ethical Considerations
Chapter 6 Lightweight Secure Key Authentication Scheme for Industrial Internet of Things
Chapter 7 DLIoT: A Deep Learning Approach for Enhancing Security in Industrial IoT
Chapter 8 Elevating Industries: Cloud Computing’s Impact on Industry-Integrated IoT
Chapter 9 Edge, IIoT with AI: Transforming Industrial Engineering and Minimising Security Threat
Chapter 10 The Convergence of Medical IoT and Patient Privacy: Challenges and Solutions
Chapter 11 Toward a Trusted Smart City Ecosystem: IoE and Blockchain-Enabled Cognitive Frameworks for Shared Business Services
Index

About this book

Frequently asked questions

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Table of contents