Fog Networks In IoT — Security And Privacy of Internet of Things (IoT) Systems | Computer Science Online Tutorial

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Fog Networks In IoT

A self-paced online tutorial session on security and privacy of internet of things (iot) systems, part of the Fog Networks In IoT track. Work through the topics below, then reach out any time if you'd like a live walkthrough.

Estimated session length: 9 hours Format: Online, self-paced

What this tutorial covers

  • 01Security and Privacy Issues in IoT-Security Concerns at Different Layers in IoT-Privacy Concerns in IoT Devices-Machine-Learning Algorithms in IoT- Use of Artificial Neural Networks (ANN) to Forecast and Secure IoT Systems-New Flavors of Attacks on IoT Devices- Effective ML Techniques to Achieve IoT Security-Machine Learning in Fog Computing

How to use this session

Read through each topic in order — they build on one another. Keep a notes document open and try to restate each concept in your own words before moving to the next one; that single habit does more for retention than re-reading ever will.

If any topic above needs a deeper explanation, a worked example, or a live session with an instructor, get in touch using the details below and we'll set up a time that works for you.

Need help with this topic?

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