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

Technology trends


In Chapter 8,IIoT Security Using Emerging Technologies, we discussed a few trending technologies, such as blockchain and machine learning, and their promises to secure the industrial internet.

Currently, we are at an early adoption phase of blockchain for IIoT security applications. The decentralized decision-making model of blockchain is relevant to an autonomous ecosystem. Blockchain also provides an immutable ledger, which can enable tamper- proofing. As a maturing technology, blockchain is yet to address IIoT specific concerns related to computing resources, scalability, data privacy etc. Lot of research and industry consortia efforts, such as the Hyperledger project, may make blockchain a viable IIoT security enabler.

Machine learning based security monitoring and anomaly detection applications are already in the marketplace. ML and robotics are evolving areas, where a lot of research is being directed to develop automated and adaptive security solutions.Cognitive IoT...