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Cognitive biometric technologies have been in demand over the past decade and is growing at a fast rate with the advent of machine learning and artificial intelligence algorithms. Some of the applications are listed below which are in use.
A method of user logon to a computing device or computer system that, distinct from requiring entry of a set of known logon credentials such as a username and password, introduces an additional thought-directed user interface whereby the user must respond to one or more prompts that measure the user’s cognitive function at the time of logon or during an active logon session. The user’s responses to these prompts are evaluated for several purposes, including determining whether the user demonstrates the required level of cognitive function to gain access to the computer system or continue an active logon session. The user’s responses and associated data may also be stored and retrieved at a later time for various purposes, including determining whether and to what extent the user’s level of cognitive function is improving, diminishing, or remaining static over time.
BioCatch, a cybersecurity company that delivers behavioural biometrics, analysing human-device interactions to protect users and data. It has three main capabilities: identity proofing, continuous validation, fraud prevention. BioCatch compares the user behaviour in real-time against the profile to return an actionable risk score. An add-on module gives fraud teams with visualization of behavioural data and advanced analytics, enabling rule setting, and reliable fraud reporting in real time.
Detect uses behavioural biometrics, with artificial intelligence for real time cognitive imposter recognition. This utility of the system implements machine learning algorithms to study how an individual reacts to stimuli. It can understand small mouse movements and variations in syntax, and semantics, while creating user models with each interaction which can be used later so it gets smarter and more efficient with time. It uses fraud detection capacities with a reliable pattern recognition tool to help identify problems and remove evolving threats.
Cognitive methods have a lot of advantages with respect to traditional forms of biometrics.
These also include privacy compliance, robustness against spoofing attacks, intrinsic liveness detection, and universality. On the other hand, this novel method also poses some challenges which need to be properly addressed. The understanding of the level of uniqueness and permanence of brain responses, the design of elicitation protocols, and the invasiveness of the acquisition process are some of them. Some of them have also been elaborated below:
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