Liveness In Biometrics – For Spoof Detection And Prevention Of Scams

business

The digitization of the world has somehow benefitted scammers to up their game of doing illegal business. Enterprises are facing a skyrocketed number of scams on daily basis. There were 4.8 million identity theft cases received by FTC in 2020. These reports clearly highlight that there is something that businesses are missing in terms of protecting their companies from the heinous acts of bad actors. Merchants must be able enough to undergo spoof detection measures to let down perpetrators in their illegal activities.

There are many identity validation techniques that can be employed by organizations. Biometrics is one such method in many other ways. Almost the entire world has accepted the exceptional services of this method that can identify individuals in real-time. A widely used verification method, biometrics is a helping hand for spoof detection and to keep the fraudsters from polluting the systems. 

How Important Biometrics are In Verifying Individuals 

However, as much as we can not neglect the importance of biometrics in terms of verifying individuals, we can also not neglect the fact that the same digital identity verification solution is on the target list of imposters. Bad actors have not left any chance of ruining this method as well. 

 

Biometrics can identify individuals based on their unique biological characteristics. It does not rely on anything that a user can possess like their documents or anything but it verifies customers for what they actually are. The arrival of biometrics was not less than a revolutionary kick in the market. But guess what, scammers have not left this method as well to harm the companies and their consumers. 

 

What is Spoof Detection?

The terms biometrics and spoof attacks go hand in hand. The fraudsters try to spoof the system by faking their biometrics. Spoof reflects the process of deceiving the system by imitating the biometrics of a genuine user. The system should be sophisticated enough with spoof detection protocols so that to prevent happening of such crimes. 

As we have discussed the terms biometrics and spoof detection, now let’s study face spoof attacks, ways to do spoof detection, and how businesses can prevent them.

Face Spoof Attacks 

An online identity verification measure facial recognition is a process in which individuals are verified on the basis of their unique facial features. This is an authentic and reliable source when identifying individuals. Businesses are moving towards this system on a wider scale. 

 

But the system is under fire when it comes to facing fraud cases. Keeping the fraud cases in consideration, certain security measures have been practiced. One of them is the face liveness detection method that uses motion analysis, texture, and artificial intelligence. The method relies on algorithms to detect faces and similarly to identify fraudsters. 

 

Presentation Attack Instruments 

The impersonators can use 2D, 3D models to perform facial spoof attacks. Businesses must be vigilant enough to undergo spoof detection by deploying all the measures it takes to do that. 

 

The bad actors can come up by making flat sheets of masks to deceive the system. Face masks made with silicon are leveraged by perpetrators to act like they are genuine users. Spoof detection in terms of identifying those masks sometimes becomes difficult, however, it is not something that cannot be stopped. Having excellent spoof detection measures is what the need for companies in order to control such scams.

 

Countermeasures for Spoof Attacks

The only way to control spoof attacks is to have efficient protocols in-house such as spoof detection. In biometrics, liveness detection can help businesses to detect any type of activity that fraudsters can come up with. Spoof detection in terms of facial recognition can look like observing face notions like head turn, the blink of the eye, and the depth of face.

 

We all remember the movie in which Tom Cruise successfully spoofed an iris recognition check. He replaced his eye with the one he bought from the black market. This popular and many other examples require effective spoof detection protocols to combat tricks played by scammers. 

Conclusion 

Fraud rates have skyrocketed in the business market. They require efficient verification systems like facial biometric for spoof detection and controlling scams. Spoof detection can prevent the evil tricks of fraudsters from polluting the business systems. 

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