Facial recognition has become a widely used method of verifying a person’s identity. This technology is now getting utilized to combat ID fraud and identity theft in various sectors and companies.
While facial recognition is not a new concept, technological advancements have widespread use. This technique gets used by several web applications, social networking websites, and smartphones to avoid data exploitation. Your Smartphone, most likely, includes a face recognition feature that allows you to unlock it.
It’s a biometric system that uses a digital image and video to identify and verify a person. It takes a person’s face details, evaluates them, and compares them.
Face recognition does not need a massive database of images to identify an individual’s identification; it merely identifies and recognizes one person as the device’s only owner while restricting access to others.
Face recognition matches the faces of people going past cameras to photographs of persons on a watch list, in addition to unlocking phones. The images can come from anywhere, including our social media accounts, and the watch lists can include photos of anyone, even individuals who get not suspected of any wrongdoing.
There are two methods of fooling face verification that is spoofing and bypassing.
Wearing a mask is the oldest technique in the book to deceiving facial biometrics. Fraudsters employ silicone masks, printed images of other persons, and even life-size mannequins to get onboarded or hacked into accounts. Face spoofing is the term for this type of scam.
The second method of deceiving life is a little more sophisticated. It involves fraudsters getting into cameras and injecting pre-recorded videos, compromising the server, and changing biometric data submitted. Bypassing is the technical term for this procedure.
Face ID can get easily hacked by taping two black dots in the middle of a sleeping device owner’s face. Because Face ID can’t scan a person’s eyes when wearing glasses, this is one of the simple spoofing tactics available. Let’s look at some more advanced approaches now.
Con artists can now access practically anyone’s photo and use it to defraud face verification in the age of social media. Fraudsters can exploit social media photographs to hijack devices and accounts if aliveness technology does not examine the depth of an image.
It is actually with the face recognition system, which can get readily fooled by projecting a photo of someone on a screen. Fraudsters can use a similar technique to access people’s bank accounts and other sensitive data.
It is not necessary to impersonate someone to bypass liveness. By swapping in or modifying biometric data, fraudsters attack the liveness system. Hackers can take advantage of three flaws in every living technology:
A fraudster can take control of a phone camera and inject a pre-recorded video or deepfake into it. If data is not encrypted, it can get intercepted, and a server hacked.