Behavioural biometrics – key considerations
One of the main advantages of behavioural biometrics is that they can be used continuously to minimise the number of occasions that individuals must re-identify themselves in a particular environment (such as having to enter and re-enter passwords etc.). Consequently, they can greatly enhance user experience in a variety of applications. This is in addition to their primary function of confirming identity and preventing unauthorised access e.g., detecting and blocking irregular login activity based on the way the login credentials were entered by the operator.
The variability of an individual’s performance in certain tasks can be affected by a range of factors (e.g., see Keystrokes – fatigue, posture, type of keyboard etc.). These variables can disrupt the accuracy of a behavioural biometric system. Some manufacturers are therefore using artificial intelligence and machine learning techniques to analyse discrete portions of a person’s user profile to make allowances, within acceptable tolerances, for these intra-variabilities.
Behavioural biometrics examples | Physiological and behavioural biometrics overview
