What is considered the most important type of error to avoid for a biometric access control system?
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A. B. C. D.B.
When a biometric system is used for access control, the most important error is the false accept or false acceptance rate, or Type II error, where the system would accept an impostor.
A Type I error is known as the false reject or false rejection rate and is not as important in the security context as a type II error rate.A type one is when a valid company employee is rejected by the system and he cannot get access even thou it is a valid user.
The Crossover Error Rate (CER) is the point at which the false rejection rate equals the false acceptance rate if your would create a graph of Type I and Type II errors.The lower the CER the better the device would be.
The Combined Error Rate is a distracter and does not exist.
Source: TIPTON, Harold.
F.
& KRAUSE, Micki, Information Security Management Handbook, 4th edition (volume 1), 2000, CRC Press, Chapter 1, Biometric Identification (page 10).
The most important type of error to avoid for a biometric access control system is the Type II error.
Type II errors occur when the system fails to authenticate a legitimate user who should be granted access, and instead denies them access. This is also known as a false negative. Type II errors can have serious consequences, such as denying access to critical areas or resources to authorized personnel, leading to decreased productivity, increased frustration, and potential security breaches.
On the other hand, Type I errors occur when the system grants access to someone who should not be granted access. This is also known as a false positive. While Type I errors are undesirable, they are less important to avoid than Type II errors, as the consequences of a Type I error are typically less severe than those of a Type II error.
The Combined Error Rate (CER) is a metric that takes into account both the false acceptance rate (Type I error) and the false rejection rate (Type II error) to provide an overall measure of the system's accuracy. The lower the CER, the more accurate the system is considered to be.
The Crossover Error Rate (CER) is the point at which the false acceptance rate and the false rejection rate are equal, meaning that the system is equally likely to grant access to unauthorized users as it is to deny access to authorized users. The CER is a useful metric for comparing the accuracy of different biometric access control systems.