Last updated by TechPrate on September 23rd, 2021 at 11:23 pm
The criminals are using technology to bypass the SaaS solution. Businesses are facing challenges as frauds are surging. Thus, a face verification solution is an optimal way to avoid them.
Facial biometric technology has become the center of attraction over time. Biometric technology is getting insightful. Digital know your business are adopting the facial biometric authentication system to enhance their security systems.
The idea of biometric technology was first raised in the 1960s. But due to the lack of technological resources as well as the research it didn’t get enough attention.
But due to advancements in technology, from a couple of years, facial verification has become very famous due to its exceptional capabilities of identifying the real identities of the customers robustly. Additionally, it is well equipped to determine false identities and spoof attacks.
Biometric crimes are referred to as criminals’ attempts that are intended to bypass or manipulate biometric systems. The fraudsters are misusing technology-based tools to extract biometric data for their personal gains.
This never-ending problem has become the primary concern for digital businesses globally, especially financial institutions and the banking sector. Most occurring frauds include tampered videos, deep spoof attacks, fake photo attacks, and various others.
In the ultra-modern world, where multiple biometric technology-based solutions are developed, facial verification solutions have gained more popularity as compared to retina or fingerprint scanning.
People started becoming comfortable with selfies and hence it played a significant part in adopting such verification methods. On another hand, criminals are also attracted to this technology as it is providing a new way of gaining financial and personal benefits.
Photo edits photoshop and other techniques are adopted by criminals in order to get themself verified over some other identity. But due to advanced biometrics, such attempts are caught and deterred.
Wearing 3-D face masks is considered the oldest way of spoofing biometric systems. The criminals usually use silicone-made masks to manipulate or trick out the face verification solution and in many cases, they bypass the security system and get account access.
According to Forbes, in 2018 one anonymous group hacked the android phones by spoofing the face verification systems. Especially for the finance and banking sectors, it’s a high potential risk that any criminal can bypass the verification checks by using 3D masks. This negligence can lead to huge monetary loss, account takeovers, and data breaches.
Criminals usually tend to use the facial imprints of someone else’s face just to trick out the online face verification systems. The photos are easily gathered from the internet, which is then printed and shown at the time of face verification. This is the digital way of impersonification. Therefore, the verification systems which lack liveness detection can easily be exploited with such attempts.
Under this fraud, the criminal cut down the printed picture from the eye region in order to reveal blinking behaviors. Most likely the image could be of someone else and in case of exploitation, the data of victims would be compromised and will remain undetected.
Therefore, the facial recognition system which is not competent and does not have a feature of analyzing facial features can be easily attacked. Thus 3D depth analysis can easily detect such spoof attacks.
The facial biometric verification systems are encoded in a way that allows the user to get verified in two ways, one by uploading the facial imprint images or to scan the face in real-time using webcams.
Yet, the criminal tries to determine the loopholes in the facial recognition systems and provides photoshopped photos to protect himself from getting identified during verification.
The SaaS providers have improved the traditional facial verification system using artificial intelligence technology. The new systems contain all the essential features to determine any kind of criminal attack and due to its exceptional capabilities, it’s impossible for fraudsters to bypass the verification process.
Liveness detection refers to the capability of the facial recognition system to identify whether the facial image is real or an attempt of a spoof attack. The AI-powered face validation systems are loaded with liveness detection which can easily determine the live presence of the user as well as their facial expression like a blink of an eye. Due to this, the risk of system manipulation is decreased.
The facial recognition systems have a 3D depth-sensing feature that is able to detect spoofing attacks including silicone masks or fake printed images. Such risks are deterred by analyzing the customer’s face deeply by plotting a three-dimensional geometry graph.
The modern facial biometric system is well equipped to analyze human facial features and behavior. Due to this, the fraudsters are efficiently filtered and are flagged.
To do this the face attributes are verified, for example the distance between the eyes, the length/ width of the forehead, blinks of eyes, and many more.
With time, digital frauds become more effective and businesses are facing difficulties to deploy technological-based systems to combat such suspicious activities.
However, a face verification solution is developed to secure digital businesses from criminal activities. The biometric technology promises healthy benefits as well as its ultimate way of making online space fraud-free.