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NISTIR 7298 Revision 1, Glossary of Key Information Security Terms

NISTIR 7298 Revision 1, Glossary of Key Information Security Terms

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NIST IR <strong>7298</strong> <strong>Revision</strong> 1, <strong>Glossary</strong> <strong>of</strong> <strong>Key</strong> <strong>Information</strong> <strong>Security</strong> <strong>Terms</strong><br />

False Acceptance – When a biometric system incorrectly identifies an individual or<br />

incorrectly verifies an impostor against a claimed identity<br />

SOURCE: SP 800-76<br />

In biometrics, the instance <strong>of</strong> a security system incorrectly verifying<br />

or identifying an unauthorized person. It typically is considered the<br />

most serious <strong>of</strong> biometric security errors as it gives unauthorized<br />

users access to systems that expressly are trying to keep them out.<br />

SOURCE: CNSSI-4009<br />

False Acceptance Rate (FAR) – The probability that a biometric system will incorrectly identify an<br />

individual or will fail to reject an impostor. The rate given normally<br />

assumes passive impostor attempts.<br />

SOURCE: SP 800-76<br />

The measure <strong>of</strong> the likelihood that the biometric security system will<br />

incorrectly accept an access attempt by an unauthorized user. A<br />

system’s false acceptance rate typically is stated as the ratio <strong>of</strong> the<br />

number <strong>of</strong> false acceptances divided by the number <strong>of</strong> identification<br />

attempts.<br />

SOURCE: CNSSI-4009<br />

False Positive – An alert that incorrectly indicates that malicious activity is occurring.<br />

SOURCE: SP 800-61<br />

False Rejection – When a biometric system fails to identify an applicant or fails to<br />

verify the legitimate claimed identity <strong>of</strong> an applicant.<br />

SOURCE: SP 800-76<br />

False Rejection Rate (FRR) –<br />

In biometrics, the instance <strong>of</strong> a security system failing to verify or<br />

identify an authorized person. It does not necessarily indicate a flaw<br />

in the biometric system; for example, in a fingerprint-based system,<br />

an incorrectly aligned finger on the scanner or dirt on the scanner can<br />

result in the scanner misreading the fingerprint, causing a false<br />

rejection <strong>of</strong> the authorized user.<br />

SOURCE: CNSSI-4009<br />

The probability that a biometric system will fail to identify an<br />

applicant, or verify the legitimate claimed identity <strong>of</strong> an applicant.<br />

SOURCE: SP 800-76<br />

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