Final answer:
The rate at which we fail to authenticate legitimate users in a biometric system is measured using the False Negative Rate (D).
Step-by-step explanation:
The rate at which we fail to authenticate legitimate users in a biometric system is measured using the False Negative Rate (D). This rate represents the proportion of authentic users who are incorrectly rejected by the system. It is a critical metric in assessing the performance of biometric systems as it directly impacts the system's ability to accurately identify and verify users.
For example, if a biometric system has a False Negative Rate of 5%, it means that 5 out of every 100 legitimate users will be incorrectly rejected by the system. This can cause inconvenience and frustration for users and can lead to security vulnerabilities if malicious individuals are able to bypass the system.
The other options listed are also important metrics in assessing the performance of biometric systems, but they measure different aspects:
- False Positive Rate (A): This is the proportion of impostors who are incorrectly accepted as legitimate users.
- True Negative Rate (B): This is the proportion of impostors who are correctly rejected by the system.
- True Positive Rate (C): This is the proportion of legitimate users who are correctly accepted by the system.