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Practical Industrial Internet of Things Security

Practical Industrial Internet of Things Security

By : Sravani Bhattacharjee
5 (3)
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Practical Industrial Internet of Things Security

Practical Industrial Internet of Things Security

5 (3)
By: Sravani Bhattacharjee

Overview of this book

Securing connected industries and autonomous systems is of primary concern to the Industrial Internet of Things (IIoT) community. Unlike cybersecurity, cyber-physical security directly ties to system reliability as well as human and environmental safety. This hands-on guide begins by establishing the foundational concepts of IIoT security with the help of real-world case studies, threat models, and reference architectures. You’ll work with practical tools to design risk-based security controls for industrial use cases and gain practical knowledge of multi-layered defense techniques, including identity and access management (IAM), endpoint security, and communication infrastructure. You’ll also understand how to secure IIoT lifecycle processes, standardization, and governance. In the concluding chapters, you’ll explore the design and implementation of resilient connected systems with emerging technologies such as blockchain, artificial intelligence, and machine learning. By the end of this book, you’ll be equipped with the all the knowledge required to design industry-standard IoT systems confidently.
Table of Contents (14 chapters)
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11
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Distinguishing features of IIoT connectivity


The industrial internet and Industrie 4.0 are driving the transformation of industrial assets into cyber-physical entities. The erstwhile air-gapped devices and operational domains are now being connected to business application systems over IP-based network infrastructure (Figure 5.3):

Figure 5.3: Transition of industrial systems from unconnected to converged IT/OT model 

Ubiquitous connectivity introduces new operational dynamics in OT environments. To adequately protect OT connectivity, we need to consider its key distinguishing aspects, as discussed in this section.

Deterministic behavior

Traditionally, in industrial systems, field devices such as sensors communicate with control and actuation devices such as PLCs in highly deterministic modes. Consider the example of an oil and gas plant where the field sensors send out data in deterministic timeframes. The control devices receive, process, and analyze this data to send out control and actuation...

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