ISC2 Certified Secure Software Lifecycle Professional (CSSLP) Practice Question
During testing of a facial-recognition login feature for a mobile banking app, a tester finds that the system occasionally unlocks the app for an unauthorized coworker when they are both standing in dim hallway lighting. To address this specific security weakness, which biometric performance metric should the development team concentrate on lowering before release?
The biometric system is granting access to an imposter, so it is incorrectly matching an unauthorized face to a valid user template. This is measured by the false acceptance rate (also called the false match rate). Lowering the FAR reduces the likelihood that a non-enrolled individual is accepted. The false rejection rate tracks how often genuine users are denied, which is not the primary problem here. Equal error rate is a composite point used to compare systems but does not directly target the observed failure. Enrollment time has no bearing on authentication accuracy.
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What is False Acceptance Rate (FAR)?
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How is FAR different from False Rejection Rate (FRR)?
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What is Equal Error Rate (EER) and how does it differ from FAR and FRR?
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ISC2 Certified Secure Software Lifecycle Professional (CSSLP)
Secure Software Concepts
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