False Rejection Rate equals False Acceptance Rate

C.

The percentage at which the False Rejection Rate equals the False Acceptance Rate is called the Crossover Error Rate (CER).Another name for the CER is the Equal Error Rate (EER), any of the two terms could be used.

Equal error rate or crossover error rate (EER or CER) It is the rate at which both accept and reject errors are equal.The EER is a quick way to compare the accuracy of devices with different ROC curves.In general, the device with the lowest EER is most accurate.

The other choices were all wrong answers: The following are used as performance metrics for biometric systems: false accept rate or false match rate (FAR or FMR): the probability that the system incorrectly matches the input pattern to a non-matching template in the database.

It measures the percent of invalid inputs which are incorrectly accepted.This is when an impostor would be accepted by the system.

False reject rate or false non-match rate (FRR or FNMR): the probability that the system fails to detect a match between the input pattern and a matching template in the database.

It measures the percent of valid inputs which are incorrectly rejected.This is when a valid company employee would be rejected by the system.

Failure to enroll rate (FTE or FER): the rate at which attempts to create a template from an input is unsuccessful.

This is most commonly caused by low quality inputs.

Reference(s) used for this question: KRUTZ, Ronald L.

& VINES, Russel.

D., The CISSP Prep Guide: Mastering the Ten Domains of Computer Security, 2001, John Wiley & Sons, Page 38

and https://en.wikipedia.org/wiki/Biometrics.

The percentage at which the False Rejection Rate (FRR) equals the False Acceptance Rate (FAR) is called the Crossover Error Rate (CER).

False Rejection Rate (FRR) is the percentage of times that an authentication system denies access to an authorized user. False Acceptance Rate (FAR) is the percentage of times that an authentication system grants access to an unauthorized user. Both FRR and FAR are important metrics for evaluating the performance of an authentication system.

The Crossover Error Rate (CER) is the point at which the FRR and FAR intersect or become equal. At this point, the FRR and FAR have the same value, which means that the system is equally likely to reject authorized users as it is to accept unauthorized users. In other words, the CER is the threshold at which the trade-off between security and convenience is balanced.

The CER is an important metric for determining the effectiveness of an authentication system. A lower CER indicates that the system is more secure, as it is less likely to grant access to unauthorized users. However, a lower CER also means that the system is less convenient, as it may reject authorized users more often. Conversely, a higher CER indicates that the system is less secure, as it is more likely to grant access to unauthorized users. However, a higher CER also means that the system is more convenient, as it may reject authorized users less often.

Therefore, the Crossover Error Rate (CER) is the percentage at which the False Rejection Rate equals the False Acceptance Rate.