Which of the following statements is true regarding the false rejection rate in biometrics?

The false rejection rate (FRR) in biometrics is an important metric that indicates the frequency at which legitimate users are incorrectly denied access. When a legitimate user’s biometric input is not recognized by the system, it leads to a false rejection, which can hinder user access and create frustration. Thus, a higher FRR suggests there may be issues with the biometric verification process, such as incorrect thresholds set for matching or environmental factors influencing the biometric readings.

Option C accurately reflects this relationship, as it directly correlates the FRR with potential problems in user verification. When the rate of false rejections is significant, it may highlight deficiencies in the system’s ability to adequately verify legitimate users.

In contrast, while some might think the FRR could relate to the security effectiveness of a system, this is not its primary role. Therefore, it’s essential to differentiate that the FRR is not always indicative of overall security but rather of user verification issues. Additionally, the FRR does not simply adhere to a higher standard than the false acceptance rate (FAR) nor does it solely influence data stored at rest; instead, it impacts the user experience of accessing resources, which can affect real-time interactions with any secured system.

Thus, the understanding of the FR