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Practical Internet of Things Security

Practical Internet of Things Security

By : Russell, Van Duren
4 (1)
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Practical Internet of Things Security

Practical Internet of Things Security

4 (1)
By: Russell, 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 (13 chapters)
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Managing assets 


There is more to discuss related to IoT asset management than simply keeping track of the physical location of each component. Some IoT devices can benefit from predictive analytics to help identify when an asset requires maintenance and also detect in real time when an asset has gone offline. By incorporating new data analytic techniques into an IoT ecosystem, organizations can benefit from these new capabilities and apply them to the IoT assets themselves.

When imaging a device such as an autonomous connected vehicle working on a construction site, or perhaps a robot on a manufacturing floor, the ability to predict failure becomes significant. Prediction is only the first step, however, as the IoT matures with new capabilities to automatically respond to failures and even autonomously swap out broken components for new replacements.

Consider a set of drones used in security and surveillance applications. Each drone is essentially an IoT endpoint that must be managed by the...

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