In the digital age, security is one of the primary concerns of any organization. Every organization has realized that data is a major resource. Hence, organizations deploy advanced security mechanisms to safeguard business data.
However, various industry giants such as Google, Facebook, Cathay Pacific, Exactis, and many more have witnessed major data breaches in the past few years. These data breaches have exposed vital data of millions of customers. Therefore, businesses are constantly looking for better alternatives to traditional security models.
Biometrics such as fingerprint and iris scans are being utilized for authenticating employees at the workplace and identifying smartphone owners. Such biometrics can be implemented in organizations to authorize data access for confidential data. Biometrics can 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, clubbing AI and biometrics together will lead to the creation of dynamic security models.
Biometrics identifies and authenticates individuals based on their physical or behavioral characteristics. This method can be more secure compared to traditional methods such as passwords and PIN numbers that can be easily hacked. Biometric systems utilize sensors that convert biometric traits such as fingerprints, face, iris, and voice of a person to an electrical signal. The type of biometric sensor is chosen based on its application. For instance, a high definition camera will be required for facial recognition.
- Fingerprint recognition: Fingerprint scanners collect an image of a person’s fingerprint and record its features such as whorls, loops, and arches. Additionally, fingerprint scanners also analyze outlines of edges, furrows, and minutiae of a fingerprint. The scanned fingerprint image is then verified against a previously stored set of fingerprints.
- Iris recognition: Iris scanners analyze features of a person’s iris such as rings, freckles, and furrows that are situated around the pupil. Iris scanners contain a video camera that can scan irises through contact lenses and glasses.
- 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: 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 ear canal. Special earphones with a microphone can capture sound waves reflected inside the ear canal. The reflected sound waves captured by the microphone are used for identification of an individual.
Along with these types, there are several other types of biometrics such as hand geometry, palm vein recognition, signature recognition, and odor recognition. Different kinds of biometrics are used in various scenarios such as forensic investigations, airport security, access control, and banking.