Final answer:
Biometrics promises enhanced security through unique physical identifiers and includes measures such as the False Rejection Rate (FRR) and False Acceptance Rate (FAR) to evaluate system performance.
Step-by-step explanation:
Biometrics Promises
Biometrics promises enhanced security by using unique physical characteristics such as fingerprints, facial features, and iris patterns to identify individuals. Biometric systems are often regarded as more secure than traditional password systems because they are harder to replicate or steal.
False Rejection Rate (FRR)
The false rejection rate, or Type I error rate, is the measure of the likelihood that a biometric security system will incorrectly reject an authorized user's access attempt. Usually expressed as a percentage, a lower FRR is indicative of a more user-friendly system.
False Acceptance Rate (FAR)
The false acceptance rate, or Type II error rate, is the frequency at which a biometric system mistakenly accepts an unauthorized individual. Expressed as a percentage, a low FAR is crucial for the security effectiveness of a biometric system.
Examples of situations involving FRR include a fingerprint reader that fails to recognize a registered user's fingerprint because of a cut on their finger. On the other hand, examples of FAR include a facial recognition system mistakenly granting access to a person who resembles a valid user.