Biometrics

{
  "id": "MLC-T-CYB-000456",
  "term": "Biometrics",
  "field": "Cybersecurity",
  "definition": "1. Automated recognition of individuals based on their biological or behavioral characteristics. Biological characteristics include but are not limited to fingerprints, palm prints, facial features, iris and retina patterns, voice prints, and vein patterns. Behavioral characteristics include keystroke cadence, the angle of holding a smartphone, screen pressure, typing speed, mouse or mobile phone movements, and gyroscope position, among others.\n\n2. A measurable physical characteristic or personal behavioral trait used to recognize the identity, or verify the claimed identity, of an applicant. Facial images, fingerprints, and iris scan samples are all examples of biometrics.\n\n3. Automated recognition of individuals based on their biological and behavioral characteristics.\n\n4. The science and technology of measuring and statistically analyzing biological data. In information technology, biometrics usually refers to automated technologies for authenticating and verifying human body characteristics such as fingerprints, eye retinas and irises, voice patterns, facial patterns, and hand measurements.\n\n5. Automated recognition of individuals based on their behavioral and biological characteristics.\nIn this document, biometrics may be used to unlock authentication tokens and prevent repudiation of registration.",
  "references": [
    "NIST SP 800-63-4; NIST SP 800-63A-4",
    "NIST SP 800-12 Rev. 1 from FIPS 201",
    "NIST SP 800-63-3 [Superseded]",
    "NISTIR 7316",
    "NIST SP 800-63-2 [Superseded]",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/biometrics/"
}