2 cissp ® Official Study Guide Eighth Edition



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(CISSP) Mike Chapple, James Michael Stewart, Darril Gibson - CISSP Official Study Guide-Sybex (2018)

False Acceptance Rate
A false acceptance occurs when an invalid subject is authenticated. 
This is also known as a false positive authentication. As an example, imagine that Hacker 
Joe doesn’t have an account and hasn’t registered his fingerprint. However, he uses his fin-
gerprint to authenticate, and the system recognizes him. This is a false positive or a false 
acceptance. The ratio of false positives to valid authentications is called the 
false accep-
tance rate (FAR)
. False acceptance is sometimes called a 
Type II error
.
Most biometric devices have a sensitivity adjustment. When a biometric device is too 
sensitive, false rejections (false negatives) are more common. When a biometric device is not 
sensitive enough, false acceptance (false positives) are more common.
You can compare the overall quality of biometric devices with the 
crossover error rate 
(CER)
, also known as the equal error rate (ERR). Figure 13.1 shows the FRR and FAR 
percentages when a device is set to different sensitivity levels. The point where the FRR and 
FAR percentages are equal is the CER, and the CER is used as a standard assessment value 
to compare the accuracy of different biometric devices. Devices with lower CERs are more 
accurate than devices with higher CERs.


Comparing Identification and Authentication 
599
F I G u r e 13 .1
Graph of FRR and FAR errors indicating the CER point
%
Sensitivity
FAR
FRR
CER
It’s not necessary, and often not desirable, to operate a device with the sensitivity set at 
the CER level. For example, an organization may use a facial recognition system to allow 
or deny access to a secure area because they want to ensure that unauthorized individuals 
are never granted access. In this case, the organization would set the sensitivity very high so 
there is very little chance of a false acceptance (false positive). This may result in more false 
rejections (false negatives), but a false rejection is more acceptable than a false acceptance 
in this scenario.

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