Description: The false rejection rate (FRR) is a critical indicator in multifactor authentication systems that measures the probability of a security system incorrectly rejecting an authorized user. This phenomenon occurs when an individual who has the appropriate permissions to access a system is denied, which can lead to frustration and loss of productivity. FRR is especially relevant in environments where security is paramount, such as financial institutions, government systems, and sensitive data platforms. A high FRR may indicate that the authentication system is too strict, potentially leading to a negative user experience. Conversely, a low false rejection rate is desirable, as it ensures that legitimate users can access resources without inconvenience. FRR is calculated from the number of incorrect rejections relative to the total number of access attempts by authorized users, and it is an essential component in evaluating the effectiveness of various authentication methods, including passwords, biometrics, and security tokens. In summary, the false rejection rate is a key parameter that helps balance security and usability in multifactor authentication systems.
