Book Image

Practical Internet of Things Security - Second Edition

By : Brian Russell, Drew Van Duren
Book Image

Practical Internet of Things Security - Second Edition

By: Brian Russell, Drew Van Duren

Overview of this book

With the advent of the Internet of Things (IoT), businesses have to defend against new types of threat. The business ecosystem now includes the cloud computing infrastructure, mobile and fixed endpoints that open up new attack surfaces. It therefore becomes critical to ensure that cybersecurity threats are contained to a minimum when implementing new IoT services and solutions. This book shows you how to implement cybersecurity solutions, IoT design best practices, and risk mitigation methodologies to address device and infrastructure threats to IoT solutions. In this second edition, you will go through some typical and unique vulnerabilities seen within various layers of the IoT technology stack and also learn new ways in which IT and physical threats interact. You will then explore the different engineering approaches a developer/manufacturer might take to securely design and deploy IoT devices. Furthermore, you will securely develop your own custom additions for an enterprise IoT implementation. You will also be provided with actionable guidance through setting up a cryptographic infrastructure for your IoT implementations. You will then be guided on the selection and configuration of Identity and Access Management solutions for an IoT implementation. In conclusion, you will explore cloud security architectures and security best practices for operating and managing cross-organizational, multi-domain IoT deployments.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
Index

The concept of the fog


Another edge computing facet of an IoT system architecture is known as the fog. The OpenFog Consortium released in 2017 a reference architecture (https://www.openfogconsortium.org/wp-content/uploads/OpenFog_Reference_Architecture_2_09_17-FINAL.pdf), in which they defined fog computing as:

A horizontal, system-level architecture that distributes computing, storage, control, and network functions closer to the users along a cloud-to-thing continuum.

Fog nodes are, as you would expect, placed nearer to edge devices in an IoT architecture. This allows for data analytics nearer the edge, and decision-making with minimized latency (minimized reach-back to the cloud).

Of course, the cloud still plays a role in these architectures, although cloud services are used for longer term, less cyclical data storage and more robust processing capabilities than are feasible at the edge or in the fog.

Fog computing allows data captured by IoT devices to be processed nearer to the edge. This...