Biometrics uses individuals’ unique physical characteristics to measure their identity. Technological advancement has also increased hackers’ access, as they now decode the algorithms of the customer’s account. They dodge the scanner by using spoofing and presentation attacks. These fraudulent activities affect The companies’ security, as the clients’ credentials are unsafe. The government is driving new ways to preserve the user’s personal information. Face spoof detection is employed to discourage scammers’ attacks and ensure that only legal customers are affiliated with the organization.
Importance of Face Detection online
Face liveness detection is an additional layer of security for the biometric system, allowing only valid individuals to bypass the account. It ensures the client is live and any fraudulent activity can be detected at the site. The hacker can’t decode the account because they have to go through multiple steps. Every step measures the user’s identity; the client must justify the presence, and the customer is considered valid after successfully passing the process.
How is Face Spoofing Performed?
There are the following two types of spoofing attacks:
Presentation Attack
- In a presentation attack, the hacker presents a still picture of the client to the scanner and tries to dodge the biometric solution.
- The hacker sometimes presents the client’s video, and some apps produce the video by using pictures. It appears more natural to the scanner as compared to the snap.
- The 3D mask is also used to dodge the camera, and they are used to break the additional security measures. Robots are also employed in such tasks to bypass the security system.
Spoofing Attack
Hackers perform spoofing attacks or indirect attacks by decoding the algorithms of the user account.
How Face Detection and Recognition Can Mitigate the Data Breaches?
- Fake identities perform cyber crimes, and ensuring that it is essential to verify the identity of the users. The biometric solution has a continuous monitoring feature, which is used to ensure that the user is not involved in any illegal activities. The customer’s source of income is checked so that the money laundering can be controlled. The person who is politically exposed is considered riskier. Therefore, it is not recommended to interact with such persons.
- When the companies perform a partnership, ensuring the other party is safe is essential. After the legally binding, the partner does not cause any trouble to the company. The face detection process holds the client’s entire data, such as name, identity card, bank statement, and residential address proof. When all the user information is known, the chances of fraud are minimized. Other than this, the company can also understand the other organization’s products and services, the strategies they involve, and their policies. This business can function well when the activities of its partners are known.
How Face Spoofing Can Be Detected?
The client has to respond to the instructions displayed on the screen, and the customer who answers the questions is considered valid; otherwise, the verification is rejected. The client has to node the head or pass the gesture; the system compares it with the previously stored data. Other than this, passive detection is also involved, in which the user is not even informed. The solution in the backend notices the customers’ activities, such as gestures, walking style, and skin texture or blemishes. If the scammer uses the 3D mask to bypass the account, the deep learning techniques will detect that the person is not alive.
Why is Face Spoof Detection Necessary?
The rising cyber crimes have enhanced the importance of the biometric system, and organizations need to ensure that they interact with legal clients. According to the Statista Technology Outlook 2022, cybersecurity in Thailand increased by 7.3% and is expected to increase by 5.3% by 2028. This huge ratio is rising continuously; therefore, organizations must integrate with these solutions to comply with the KYC regulations. The company can save itself from the penalties, and its brand image will also be improved.
Conclusion
Face spoof detection aids in compliance with government regulations, and these rules are for the betterment of the companies. Businesses can retain clients long-term by adequately understanding their demands and delivering the right product. They prefer the companies that keep their credentials safe, so companies must integrate biometric solutions. These techniques will enhance the organization’s security so the companies can preserve their data. In this competitive era, it is essential to comply with regulations; otherwise, it is impossible to compete with other businesses.
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