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

Application security


In any cloud offering, the application software stack is a key component. IIoT applications typically act upon the intelligence hidden in the data. In general, application software interfaces with the stream and batch analytics engines, machine learning models, and so on to generate control commands, business insights, and also data visualizations.

Enterprise information systems such as remote asset tracking, asset performance management, anomaly detection, and business intelligence systems are part of this application layer. By using a remote monitoring app, for example, an operator can keep track of a turbine's temperature and pressure states, receive alerts if these states exceed a certain threshold, and send control commands to operate the turbine within safety boundaries.

Today, many IIoT solution providers are offering platform-agnostic SaaS products running on the top of cloud platforms such as AWS and Microsoft Azure. These SaaS products essentially offer an abstraction...