IoT Tutorials- DataFlair

A Complete Guide to Mastering IoT        

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Getting Started with IoT

Learn the working and terminologies of IoT now and get started with IoT today.

 

 

Crack Your Next Interview

Want to make it through the next interview you will appear for? Hone your skills with our two-part series of interview questions widely asked in the industry. With basic to advanced questions, this is a great way to expand your repertoire and boost your confidence.

IoT Interview Questions
IoT Interview Questions

 

Things to Learn

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Exploring the Idea

Let’s take a look at some facts about IoT and its philosophies.

The term was likely first coined by Kevin Ashton of Procter & Gamble. Cisco Systems estimates the birth of IoT somewhere between 2008 and 2009 when the things/people ratio grew from 0.08 in 2003 to 1.84 around 2010. The Internet of Things is a network of such physical devices as home appliances and vehicles embedded with sensors, actuators, software, and other electronics. These devices can connect and exchange data, which lets us essentially put the physical world into a realm of computers. This is both easy on the users and lighter on the economy as we can remotely monitor and control them.

With the current rate of proliferation, by 2020, one can hope to see about 30 billion IoT devices and a global market value of $7.1 trillion. We don’t see a reason why this isn’t an exciting domain to pursue a career in.

IoT Kevin Ashton

Kevin Ashton

Recommendations- Government Regulation on IoT

In January of 2015, the Federal Trade Commission (FTC) delivered three recommendations in a report it published:

1. Data Security- When designing IoT, companies should ensure perpetual security of data collection, storage, and processing. A ‘defence in depth’ approach is recommended with data encryption at every stage.
2. Data Consent- It should be the user’s choice what data they share with IoT companies. In case of a compromise, they must be made aware of the same.
3. Data Minimization- It is only sensible for IoT companies to harvest only the data they really need. They should also maintain it for only a limited amount of time.