4 Biometric Authentication Techniques For Making Mobile Apps More Secure

We are dwelling in a high-tech world where mobile apps have become a part and parcel of everybody's lives. Also, advanced technologies keep coming over the horizon time and again to make these apps much more efficient and capable. 

Biometrics is one such technology that has come as a sigh of relief in the world where apps deal with users' confidential data which is vulnerable to cyber attacks and hacks. Earlier, the implementation of this advanced technology was considered an impossible task. But now it's the case where users are enjoying Touch ID authentication and facial recognition on their smartphones.

This technology has arrived as a blessing for users as now there's no need for them to remember a lot of complex passwords. But they can easily fulfil all their specific needs and perform an action with just a blink of an eye or scanning their fingerprints. How? Let's take a look at what are the four major biometric authentication techniques that are making these apps much more secure for users.

1. Facial Recognition Technology

This technology has evolved immensely in the past few years and now its incorporated in mobile apps so that to recognize the face of the user and authenticate. But it's unique feature is that there's no need for any special scanner. All the information required for authentication can be gathered just by looking at the camera of the device.

How It Works

Basically, this technology forms a digital grid over the user's face and assess the geometry of different features such as the angles that form when the user mark the key locations on the face and connect the dots or the distance between the eyes. Also, this technology has the magical potential to distinguish between identical twins.

2. Scanning Fingerprints

This technology was first launched in Apple's device iPhone 5S in 2013. It’s considered one of the most reliable and secure authentication techniques of biometrics that can be used for secure mobile app development. The major reason behind this is that the fingerprints of each person are unique even in the case of identical twins.

How It Works

The main job of this technology is to identify the key markers on a verified fingerprint. Also, the level of security goes up with the increase in the number of marker points user identifies.

The fingerprint of a user is captured when he tries to log in and its compared to the verified sample. In case both of these aligns, a user is granted access. But it also takes into consideration that a few other elements are within limits such as galvanic skin response, pulse, and body temperature. This is an additional layer of protection that your engineering can build to stop users from getting unauthorized access by reproducing a duplicate user's digit.

3. Voice Recognition Technology

This technology works in harmony with a few others such as natural language processing (NLP). It uses virtual assistants like Siri and Alexa in order to comprehend what the users are saying.

How It Works

When doing authentication through voice the input sound is transformed into a digitized map and then it's judged along with the master copy. However, the users' voice may change due to any illness or allergy. Also, hackers can record users' voice and use it for gaining unauthorized access.

These are the two major challenges the voice recognition technology is experiencing in the contemporary scenario. But programmers can enhance the technology by providing it with the capacity to identify digitized verbal renderings. This enhancement can make voice recognition extremely tough to be tricked.

4. Iris Scans

This authentication technique uses the eyes of the users and this is why it's really hard to replicate. Every eye is different and has its own flecks and colourations. These facial features are so unique that there is a slight difference between a person's right and left eye. This is why iris is an ideal parameter for identification and authentication.

How It Works

First of all, a high-tech eye scanner maps a user's iris of the eye and identify the main market points. Here also the level of security goes up with a higher number of marker points. To provide the user with identification the eye which was mapped during the login process is compared to the master model and they both must have same marker points.

In addition, eye scanners are also capable to gauge a few other parameters such as temperature and reflectivity. These added layers make it much more tough to be illegally used by other people for malicious purposes.

These four biometric authentication techniques make sure to make mobile apps much more secure as it's extremely challenging for unauthorized persons to replicate or steal the original users' body parts and their stats which are used for biometric authentication.

Author Bio:

Anubhuti Shrivastava is a content crafter at Arkenea, a custom software development company helping entrepreneurs and businesses build successful web and mobile apps. She is passionate about writing articles on topics related to design and the software development industry.

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