Knowledge-base

Passwords, PINs, and single-mode biometric checks are experiencing a rise in successful spoofing attempts, which include sophisticated

These templates compress raw images or recordings to extract only the most relevant features into mathematical models generated by algorithms

DNA biometric authentication means using an individual’s unique genetic code as an authentication method to manage access

Identity as a Service (IDaaS) solutions are cloud-based platforms that provide identity and access management (IAM) functionalities.

Fraudsters often try to pretend to be real users. However, minor behavioral variations, such as strange cursor manipulations

Doxing is an intentional assault by which an individual discloses and makes public personal information of another person to harm them.

Biometric secured authentication systems have changed the way verifications are performed using distinct biological features to identify an individual.

Identity spoofing in facial recognition occurs when an individual impersonates another person in front of a camera to deceive the system.

Facial Recognition Technology (FRT) is a crucial aspect in identity verification across Fintech and Regtech

A data breach occurs when sensitive data, like customers’ transaction history or (for example) logins, is stolen or wittingly or unwittingly leaked to irrelevant parties.

It is essential to start with the basics to understand what digital identities are.

Deepfake phishing uses an AI-generated fake audio, video, or image that is supposed to look like it was created by a person.

NIST stands for the National Institute of Standards and Technology. The National Institute of Standards and Technology is abbreviated as NIST. It comes under the U.S.

Retinal scanning is a biometric identification process that identifies people on the basis of their unique blood vessel pattern at the back of the eye.

The Children’s Online Privacy Protection Act requires websites to clearly explain how they handle data. This helps parents manage their children’s information.

FPIR measures how often a biometric system wrongly matches an unenrolled person to someone in the database, particularly in 1:N identification systems.

Automated Biometric identification Systems use human features for Biometric identification such as Facial recognition, IRIS scan, Liveness detection, and age verification.

Equal Error Rate (EER) is the point on ROC Curve where False Acceptance Rate (FAR) and False Rejection Rate (FRR) intersect and become equal.

Equal Error Rate (EER) is the point on ROC Curve where False Acceptance Rate (FAR) and False Rejection Rate (FRR) intersect and become equal.

The Receiver Operating Characteristic (ROC) curve is graph analyzing a binary classifier system showing trade-off between the True Positive Rate (TPR) and False Positive Rate (FPR).

False Non-Match Rate (FNMR) is the error rate in biometric identity verification tools that shows two identities belonging to the same person are flagged as a non-match.

False Match Rate (FMR) is the estimated error of a biometric authentication system in which it incorrectly matches two entirely different individuals and identifies them as the same person.

BPCER (Bona fide Presentation Classification Error Rate) is the false detection of a genuine user image as a fake one.

APCER in a biometric system is wrongly accepting a presentation attack as a genuine identification attempt.

FAR is the percentage error of a biometric identity verification system in accepting wrong identities.

False Rejection Rate is the frequency at which a biometric identity verification solution rejects a true identity.