Book Image

Practical Industrial Internet of Things Security

By : Sravani Bhattacharjee
Book Image

Practical Industrial Internet of Things Security

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 (22 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Foreword
Contributors
Disclaimer
Preface
I
I
Index

Industrial big data pipeline and architectures


Data is the prime asset in the IIoT value chain. Industrial devices such as sensors, actuators, and controllers generate state and operational data. The information inherent in this industrial big data enables a variety of descriptive, prescriptive, and predictive applications and business insights. This end-to-end flow of data, from the point of ingestion, through information processing using various extract, transform and load (ETL) functions, applying AI and machine learning intelligence, up to the point of data visualization and business application, is collectively referred to as the industrial big data pipeline (shown in Figure 2.7):

Figure 2.7: Schematic illustration of the stages in Industrial Data flows

The preceding diagram is explained as follows:

  • On-premise data sources: On-premise data includes usage and activity data – both real-time streaming data (data in motion) and historical/batch data from various data sources. Sensors and controllers...