Behavioral Biometrics Protect from Fraudulent Activities


Behavioral Biometrics Protect from Fraudulent Activities

  28-Dec-2020
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Behavioral Biometrics is a rapidly evolving technology. As new threats are emerging day by day, it has become the need of the hour to have a robust identification and authentication system. With the advancement of the IoT landscape and an increase in the number of online transactions, the demand for behavioral Biometrics is continually increasing. Also, there is a growing necessity for multi-layered security methods in the finance industry. All this contribute to the increased adoption of Behavioral Biometrics

What is mean by Behavioral Biometrics?

Behavioral biometrics is a solution that identifies users by examining their activities. Identification can be done on the basis of keystroke dynamics, gesture recognition, signature verification, and voice recognition. The behavior of the user is recognized by physiological, cognitive, and contextual traits. It is a little different from physical biometrics.

Why Behavioral Biometrics is gaining popularity?

Behavioral Biometrics is nowadays widely used in financial institutions, government facilities, and businesses for secure authentication. It helps the organization to increase its security and easy identification of theft. there is an increasing demand for biometric services in professional services, online banking services, smartphones, tablets, and many other gadgets.

Working of Behavioral Biometrics

The biometric data from the activity of the user is gathered, verified, and encrypted. A software application then points out specific points from the collected data and match that points to identify.

The identified match points are processed with the help of an algorithm. In this step, the data is converter into a numeric value. The values in the database are compared with the input value of the biometric. Comparing this the identification of the end-user is either approved or denied.

Different types of Behavioral Biometrics

Keystroke Dynamics:

This type of biometric system utilizes the manner as well as the rhythm and the user. The system mainly focuses on how an individual types a character on the keyboard. The keystroke rhythm of an individual is used to develop a unique template of biometry. This template is then used for the further authentication process.

Gait Analysis

Gait analysis is a type of behavioral biometric modality which used an individual’s pattern of walking. It is based on the fact that every person has a unique and distinctive way of walking. The movement pattern varies in terms of timing and magnitude from person to person.

Signature Analysis

For centuries, Signatures are used as verification. As every person uses to sig in a different manner. In behavioral Biometrics, graphology is used for signature analysis. There is specialized software that evaluates the movement of the hand while doing signature, shapes of the letter in a sign and this is used to create a personal trademark.

Voice Recognition

In this type of Behavioral Biometrics, the voice of the user is used for identification. As voice biological characteristics of a person, it is unique for each individual. The speech profile of a person is digitalized. During this, each spoken word is fragmented into segments having different frequencies.

What is the application of Behavioral Biometrics?

  • Identity Proofing: behavioral Biometrics is widely used for identity proofing. It recognizes what the user is. Therefore helpful in the detection of fraud. The organization can easily detect suspicious persons by behavior in real-time.
  • Continuous Authentication: it is a method to identify the person and confirming on an ongoing basis. The authentication mechanism is continuously used to re-verify the identity of the user throughout the session instead of logging it at once.
  • Risk & Compliance Management involves the identification of potential risks in advance. This helps the organizer to take precautionary steps prior to any fraud to occur.
  • Fraud Detection & Prevention: Behavioral Biometrics is very useful in the detection of fraud attacks. By adopting this system, companies are better prepared for the prevention of any malicious activity.

The End-uses of Behavioral Biometrics

The end-user of the Behavioral Biometrics include BFSI, Retail & E-commerce, Healthcare, Government & Defense, and IT & Telecom. As new threats are emerging day by day, the end-users are focused to take preventive measures against fraud and hacking.

Benefits of Behavioral Biometrics

Behavioral Biometrics is a robust identity authentication service. Some of the major benefits are as follows:

Flexibility 
A are limitless features available in the behavioral biometric system. These with an array of features are helpful for the precise analysis of behavioral inputs from the user.

Efficiency 
The identity of the user is recognized in real-time by using Behavioral Biometrics. In order to differentiate and authenticate, this system requires less time. So it is more efficient.

Convenient
it is very convenient for both the user and the organization. A user experience is not disrupted, so they can perform their work without any hindrance along with the ongoing process of identification.

Secure 
As intrinsic behavior of an individual is difficult to replicate by another person. It is thought to be secure and safe. In Behavioural Biometrics multiple patterns of behavior are examined at a single point in time.

The bottom line

The Behavioral Biometrics Market has been witnessing rapid growth due to an increasing number of online transactions. Such a rise in the number of online transactions and augmented threats related to it. This in turn it has elevated a serious need for advanced biometric solutions that could be able to prevent unauthorized access to information of the users without their consent. Furthermore, the advent of AI in behavioral biometrics and the development of the cloud-based solutions market. The Global Behavioral Biometrics Market has been anticipated to rise at a growth rate of 23.4% CAGR over the forecast period.