Facial Recognition Systems Can Be Hacked

[3D Faces Based On Facebook Photos Used To Prove Theory]

As we progress further into the world of electronics, it becomes more and more clear that keeping your information secure on any device is a big challenge.

Up until now these challenges were faced with the help of different types of passwords which helped secure the gateway to all your precious information.

However, security analysts soon realized that passwords weren’t safe enough, and decided that it was time to move on to something that’s a bit more secure.

As a result, we started seeing a lot of systems that employed fingerprint sensors, retina scanners and other types of Biometric Security Measures for enhanced security.

Among these new security systems, Facial Recognition is something that’s viewed as one of the most secure types of safekeeping mechanisms in place today.

The reason being that it’s quite hard to fool a system that is built to recognize the unique features of your face and use them as a password.

Unfortunately, while it’s quite hard to fool a system like this, it is still not impossible, as has been proven by researchers from the University Of North Carolina.

In their attempt to test the efficacy of such systems, the researchers took publicly available pictures of dozens of people from Facebook, and then used them to create a whole new 3D face.

While these faces had very little movement abilities, they were still able to trick facial recognition softwares during extensive testing, with an accuracy of 55-85%.

When faced with realities like this, we are forced to confront the compromised nature of our security systems, and the grave threat we face from hackers as a result.

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