In the past few years, major data breaches have hit some renowned companies like google, yahoo, facebook, etc. These data breaches have exposed vital data about millions of customers. Therefore, businesses are constantly looking for better alternatives to traditional security models.
Biometric Security such as fingerprint and iris scans are being utilized for authenticating employees at the workplace and identifying smartphone owners. Biometrics can also be used along with traditional passwords or PIN numbers for multi-factor authentication.
Additionally, the adoption of AI will help develop data-driven security protocols. Hence, a dynamic security model can be built by using both AI and biometric together.
Different Types of Biometric Verifications
Biometric authentication has many many applications as it is a security process that relies on the unique biological characteristics of an individual to verify that he is who he says he is.
Biometric authentication technology is a comparison of a biometric data capture to stored, confirmed authentic data in a database. The biometric technology comprises many different types, including but not limited to these:
- Fingertip recognition: Analyzing fingertip structures to identify users
- Iris recognition: Detection of specific features in the iris of the eye
- Face recognition: The technology is based on features like nose width, chin, and jawline, using face recognition algorithms that map the face.
- Voice recognition: Used for speaker’s voice authentication
- Palm recognition: Detects vein patterns or hand geometry of the user
- DNA matching: DNA matching uses a physical sample of an individual such as blood, hair, or saliva to confirm their identity. DNA matching is widely used in forensic investigations due to its unparalleled accuracy.
- Ear acoustic authentication: The size and shape of every human ear are unique. The size and shape of human ears help in collecting sound waves and routing them with the help of the ear canal. Special earphones with a microphone can capture soundwaves reflected inside the ear canal. The reflected sound waves captured by the microphone are used for the identification of an individual.
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How AI is smarter than Bioinformatics?
Although biometrics are trusted for accurate authentication advanced technology like AI can be used to deceive this system. According to research, fingerprint scanning can be fooled easily by AI-generated synthetic fingerprints.
The biometric system analyzes partial fingerprints to find matches with saved multiple fingerprints, as a user can scan multiple fingerprints in the device. Such fingerprints can generate inaccurate results which is a major flaw in biometric systems being used in smartphones.
AI-generated Synthetic fingerprints created by AI easily disguise contemporary biometric systems. With a hat of fingerprints, counterfeits created by AI can be more unique and accurate.
Such fingerprints can be used for testing every generated fingerprint until the target device is unlocked. This put several devices at risk of force attack resulting in identity theft and other digital scams.
However, AI and machine learning have displayed untold potential in cybersecurity. Likewise, AI and biometrics can be clubbed to create a secure biometric system. This combination can help to develop a secure system that can be used to mitigate risks and frauds.
Needless to say, biometric authentication is fostering a change in many business sectors and is being adopted widely over old methods of authentication. It is becoming critical to the development of many industries.
Biometric technology along with AI is paving ways in identity verification procedures and mitigating security risks. People may still have some doubts regarding data privacy protection, biometrics already makes an impact on various fields of life and work.