When auditing the effectiveness of a biometric system, which of the following indicators would be MOST important to review?
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A. B. C. D.B.
When auditing the effectiveness of a biometric system, the most important indicator to review would be the false acceptance rate.
False acceptance rate (FAR) refers to the percentage of instances where the biometric system wrongly accepts an unauthorized user. This is a critical factor to review because it determines the system's ability to prevent unauthorized access.
A high false acceptance rate indicates that the system is accepting a significant number of unauthorized users, which can result in security breaches, data theft, and other malicious activities. On the other hand, a low false acceptance rate indicates that the system is accurately identifying authorized users, which enhances the system's effectiveness.
False negatives, failure to enroll rate, and system response time are also important indicators to review in auditing a biometric system. False negatives (FN) refer to the percentage of instances where the biometric system wrongly rejects an authorized user. Failure to enroll rate (FTE) refers to the percentage of instances where the system fails to enroll a valid user. System response time refers to the time it takes for the system to respond to a biometric input.
While these indicators are important, they are not as critical as the false acceptance rate because they do not directly impact the system's ability to prevent unauthorized access. However, they do provide valuable insights into the system's performance, accuracy, and efficiency.
In summary, when auditing the effectiveness of a biometric system, the false acceptance rate is the most important indicator to review. A high false acceptance rate can indicate a significant security risk, while a low false acceptance rate enhances the system's effectiveness in preventing unauthorized access.