Biometric Authentication

-Advantages of Biometrics Authentication on Your iOS Device
-Why Biometric Two-Factor Authentication for iOS Is A Security Necessity

Quite a bit of our lives reside on our mobile devices. Unfortunately, not all mobile owners take security precautions to protect their information. Numeric passwords such as "1234" are predictable. But then again, even if you have a strong password combination, it is still not a guarantee that your account is safe.

Passwords can be reset by clicking the reset button and answering the security questions. Not to mention, many famous websites have been hacked or had their database leaked. No matter how careful you are in protecting your account, a small slip up can put all your accounts in danger.

The good news

With fingerprint authentication, there is no need to provide sensitive information or save passwords. In this way, it physically inconceivable for hackers to take over your accounts.

Is Biometric Authentication The Future of Digital Security?

Biometric authentication analyzes specific attributes. Aside from fingerprints, it can also use the person’s face, voice, penmanship, palm print, retina or iris, hand geometry, or a combination of two or more these characteristics. It relies on something that is unique to the person, making it difficult to duplicate or steal. Biometric authentication is offering a radical form of security. Unlike passwords, a biometric solution cannot be transmitted or forgotten.

Improvements to technology make security systems more advanced. But they also equip cyber criminals with modern tools for bypassing security. App developers need to move forward and use more secure options for authentication such as biometrics.

Biometric Authentication: Which Solution Works

Some are less intrusive, some can be used without the subject’s consent, while some are extremely hard to fake.

Facial recognition
Face recognition is a common type of biometric identifier. It works by scanning basic facial features including the jaw line, the distance between the eyes, depth of the eye sockets, cheekbones, nose, chin, and so on. The faceprint is stored and assessed with other captured data for comparison.

Additionally, it presents a way to recognize a specific face from a sea of faces. Face recognition works in a similar manner to image tagging in social networking sites. The downside of this method is it is possible to use even without the knowledge of the