+3.11 Requirements for the Use of Biometrics

3.11 Requirements for the Use of Biometrics

Biometrics refers to the automated recognition of individuals based on their biological and behavioral characteristics, such as facial features, fingerprints, voice patterns, keystroke patterns, angle of holding a smart phone, screen pressure, typing speed, mouse movements, or gait. As used in these guidelines, biometric data refers to any analog or digital representation of biological and behavioral characteristics at any stage of their capture, storage, or processing, including the transmission of biometric data to other applications or service partners. This includes live biometric samples from applicants (e.g., facial images, fingerprint) as well as biometric references obtained from evidence (e.g., facial image on a driver’s license, fingerprint minutiae template on identification cards). As applied to the identity proofing process, CSPs can use biometrics to verify that an individual is the rightful subject of identity evidence, to bind an individual to a new piece of identity evidence or credential, or for the purposes of deduplication. These requirements also address the additional privacy impacts associated with the use of biometrics in the identity proofing process.

The following requirements apply to CSPs that employ biometrics as part of their identity proofing process:

CSPs SHALL provide clear, publicly available information about all uses of biometrics, including what biometric data is collected, how it is stored and protected, and how to remove biometric data consistent with applicable laws and regulations.
CSPs SHALL obtain explicit informed consent to collect and use biometrics from all applicants.
CSPs SHALL store a record of the subscriber’s consent for biometric use and associate it with the subscriber’s account.
CSPs SHALL have a documented and publicly available deletion process and default retention period for all biometric information. Retention periods SHALL be consistent with applicable regulations, policies, and statutes for the regions and sectors that the CSP serves.
CSPs SHOULD support the deletion of all of a subscriber’s biometric information upon the subscriber’s request, except where otherwise restricted by regulation, law, or policy. CSPs that do not support biometric deletion requests SHALL publicly document the regulatory, statutory, or risk-based justification for their policy.
CSPs SHALL have their biometric recognition and attack detection algorithms periodically tested by independent entities (e.g., accredited laboratories or research institutions) for their performance characteristics, including performance across demographic groups. In addition, the CSP SHOULD conduct internal testing on biometric algorithms based on the update schedule of the provider.
CSPs SHALL assess the performance and demographic impacts of employed biometric technologies in conditions that are substantially similar to the operational environment and user base of the system. The user base is defined by both the expected users and the devices they are expected to use. When such assessments include real-world users, participation by users SHALL be voluntary.
CSPs SHALL meet the following performance thresholds if one-to-one (1:1) comparison algorithms are used for verification against a claimed identity:
False match rate: 1:10,000 or better
False non-match rate: 1:100 or better
CSPs MAY use one-to-many (1:N) identification in support of resolution or deduplication, pursuant to a privacy risk assessment. In 1:N scenarios, CSPs SHALL meet a minimum performance threshold for false positive identification of 1:1,000 or better.
A 1:N search of an applicant’s collected biometric characteristics against a database is done to determine whether the applicant is already present in the database, possibly under a different name. The false positive identification rate (FPIR) refers to the proportion of 1:N searches in which a biometric system incorrectly identifies another person as a match, which is a false positive result. The performance metric of 1:1,000 means that a false positive outcome occurs for no more than 1 in every 1,000 searches. Tests that demonstrate this requirement SHALL employ a gallery no smaller than 90 % of the current or intended operational size (N).
CSPs that make use of 1:N biometric identification for resolution, deduplication, or fraud detection purposes SHALL NOT decline a user’s enrollment without a manual review to confirm the automated search results and confirm that the results are not a false positive identification (e.g., twins submitting face photographs for different accounts with the same CSP).
Biometric verification technologies SHALL provide performance for applicants of different demographic types that is no more than 25 % worse than the performance for the overall population. For example, if the measured false non-match rate (FNMR) for the overall population is 0.006, the FNMR for a specific demographic group cannot exceed 0.0075. Similarly, if the false match rate (FMR) for the overall population is 0.0001, the FMR for each demographic group cannot exceed 0.000125. The biometric system SHALL be configured with a fixed threshold; it is not feasible to change the threshold for each demographic group. Demographic categories to be considered SHALL include sex, age, and skin tone when these factors affect biometric performance.
All biometric performance tests SHALL be conformant to ISO/IEC 19795-1:2021 and ISO/IEC 19795-10:2024, including demographics testing.
CSPs SHALL make the results of their biometric algorithm performance and biometric system operational test results publicly available. The CSP MAY provide these test results in summary form if the results indicate performance against the defined metrics in these guidelines and across the tested demographic groups.
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The following requirements apply to CSPs that collect biometric characteristics from applicants:

CSP SHALL collect biometric characteristics in a way that provides reasonable assurance that the biometric characteristic is collected from the applicant and not another subject.
When collecting and comparing biometric characteristics remotely, the CSP SHALL implement presentation attack detection (PAD) capabilities that meet the impostor attack presentation accept rate (IAPAR) performance metric of <0.07 to confirm the genuine presence of a live human being and to mitigate spoofing and impersonation attempts. All biometric presentation attack detection tests SHALL be conformant to ISO/IEC 30107-3:2023.
When collecting biometric characteristics on-site, the CSP SHALL have the operator view the biometric source (e.g., fingers, face) for the presence of unexpected non-natural materials and perform such inspections as part of the proofing process.

1. Przegląd

Tytuł Norma

1.1 Odwołania

1.2 Zidentyfikowane wymagania

1.3 Powiązane regulacje

2. Zidentyfikowane wymagania

Wymagania
Źródło Wymaganie

3. Powiązane regulacje

Regulacje
Źródło Regulacja
  • NIST -

    EN: Publications of the National Institute of Standards and Technology (NIST), U.S. Department of Commerce, https://www.nist.gov/, from their electronic versions (OSCAL; SP 800-63-4 from its HTML version, https://pages.nist.gov/800-63-4/). Works of NIST employees are not subject to copyright protection in the United States (17 U.S.C. § 105); the OSCAL content is dedicated to the public domain worldwide (CC0 1.0); outside the United States NIST grants the right to reprint its technical series publications in all formats (NIST copyright statement). Republished courtesy of the National Institute of Standards and Technology; each document names its citation. Divided into sections and converted into the GRCA format, the wording unchanged. Only the versions published by NIST are authoritative.

    DE: Veröffentlichungen des National Institute of Standards and Technology (NIST), U.S. Department of Commerce, https://www.nist.gov/, aus ihren elektronischen Fassungen (OSCAL; SP 800-63-4 aus ihrer HTML-Fassung, https://pages.nist.gov/800-63-4/). Werke von NIST-Beschäftigten sind in den USA urheberrechtlich nicht geschützt (17 U.S.C. § 105); die OSCAL-Inhalte sind weltweit gemeinfrei gestellt (CC0 1.0); außerhalb der USA räumt das NIST das Recht ein, seine Technical-Series-Publikationen in allen Formaten neu zu veröffentlichen (Copyright-Hinweis des NIST). „Republished courtesy of the National Institute of Standards and Technology“; jedes Dokument nennt seine Zitierangabe. In Abschnitte aufgeteilt und in das GRCA-Format umgewandelt, der Wortlaut unverändert. Maßgeblich sind allein die vom NIST veröffentlichten Fassungen.