Difference between revisions of "Biometric Attribute"

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* ISO 30107-3:2017 describes testing of [[Biometric Attribute]] presentations.
 
* ISO 30107-3:2017 describes testing of [[Biometric Attribute]] presentations.
 
* The first Level 1 rating in the NIST/NVLAP-certified iBeta Presentation Attack Detection (PAD) Certification test was granted on (2018-09-23) to [https://www.zoomlogin.com/ facetec]<ref>Planet Biometrics, ''FaceTec notes achievement in anti-spoofing test.'' (2018-09-23)  http://www.planetbiometrics.com/article-details/i/7463/desc/facetec-notes-achievement-in-anti-spoofing-test/</ref>
 
* The first Level 1 rating in the NIST/NVLAP-certified iBeta Presentation Attack Detection (PAD) Certification test was granted on (2018-09-23) to [https://www.zoomlogin.com/ facetec]<ref>Planet Biometrics, ''FaceTec notes achievement in anti-spoofing test.'' (2018-09-23)  http://www.planetbiometrics.com/article-details/i/7463/desc/facetec-notes-achievement-in-anti-spoofing-test/</ref>
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* [https://mobileidworld.com/fujitsu-palm-vein-windows-hello-502124/  ujitsu Proposes Windows Hello Palm Vein Authentication in the Workplace] 2018-02-12
  
 
==References==
 
==References==
  
 
[[Category:Glossary]]
 
[[Category:Glossary]]

Revision as of 10:37, 23 April 2021

Full Title or Meme

Biometrics are literally the measures of the biologic phenotype of a User.

Context

  • Biometric Attributes are taken to be exclusively the measure of human characteristics like fingerprint, facial and behavior patterns.
  • The human characteristics are another factor that can be a part of Multi-factor Authentication.
  • So the human characteristics can be considered to be a Credential.
  • The measurements of the characteristic are compared against a template of the characteristics using some Assurance level to produce a Validated claim.

Problems

  • False positives typically come from either relaxed testing, environmental noise or obsolete technology.
  • False negatives infuriate Users which is why false positives are tolerated.
  • Attacks against the sensor capabilities. Various movie and television plots have shown the attacks like taking someone's eyeball, or using a thin-film replica of a finger print to complete an Authentication which Authorizes access.
  • Attacks against the template store. Access to the Authentication data store can often be the simplest attack as it is based on known techniques.
  • Biometric Attributes attached to official documents may inadvertently become Biometric Identifiers which invade the user's privacy. See the wiki page Biometric Identifier for user cases where that has damaged a user's life.

Solutions

References

  1. Planet Biometrics, FaceTec notes achievement in anti-spoofing test. (2018-09-23) http://www.planetbiometrics.com/article-details/i/7463/desc/facetec-notes-achievement-in-anti-spoofing-test/