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