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

Data protection


In a data-driven economy, data itself is an asset. IIoT is about unlocking the intelligence inherent in data, using cloud-enabled analytics. Every organization has an onus to protect its own data, and also customer data. In the case of the healthcare industry, medical facilities must protect sensitive data related to patient biometrics, health records, credit cards, and so on. In the transportation and insurance industries, customers' Personally Identifiable Information (PII) needs to be safeguarded. Unauthorized visibility into machine data can lead to sensitive technical information leakage, which can be misused against the organization that owns the data.

That's why in IIoT deployments, where sensitive data may be transported, processed, and stored across multiple organizational boundaries, data protection and governance must be clearly defined and prioritized. Cloud service providers must guarantee the protection of data in use and data at rest (storage) for tenants. However...