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Explore the definitions, technical background, issues, and solutions related to biometrics technologies for identity verification. Learn about the various biometric types, concepts, challenges, and the impact on society. Discover the legal background, risks associated with DNA analysis, privacy concerns, and ethical considerations in biometric use.
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The Challenge of Biometrics Laurence Edge
Agenda • Biometrics – some definitions • Technical background • What are the issues? • Solutions?
Definition - 1 • “a general term for technologies that permit matches between a ‘live’ digital image of a part of the body and a previously recorded image of the same part usually indexed to personal or financial information” (Alterman - 2003)
Definition - 2 • “measuring relevant attributes of living individuals or populations to identify active properties or unique characteristics” (Mordini - 2004)
Definition – 3 (mine!) • unique physical characteristic capable of being matched automatically • possible to match at acceptably low rates of error • possible to perform automatic one-to-many identification matching, with a high accuracy (near 100%) against a reference database consisting of tens or hundreds of millions of records; • accepted in a court of law as a legal proof of identity
Authentication • Identification – selection of one from many e.g. fingerprints from a crime scene • Verification – “I am who I claim to be” e.g. passports or ID cards
The Technologies - Types • Fingerprints • Hand/Finger geometry • Voice print • Signatures • Facial Recognition • Vein Patterns • Iris Recognition • Retina Scans • DNA • Others
The Technologies - Concepts • Generic method • Accuracy • General concerns
Generic Method - Enrolment • Measure • Generate template • Record
Generic Method - Operation Biometrics at the Frontiers: Assessing the Impact on Society (2005)
Accuracy? Biometric Product Testing: Final report, Issue 1.0 (2001): CESG/BWG
Performance Improvements- Facial Recognition Phillips et al. “FRVT 2006 and ICE 2006 Large-Scale Results”. (2007)
7 Pillars of (biometric) Wisdom • Universality • Uniqueness • Permanence • Collectability • Performance • Acceptability • Circumvention EC report: Biometrics at the Frontiers: Assessing the Impact on Society (2005)
The Technologies - Challenges • Spoofing / Mimicry / Residual Images • Usability • Accessibility • Hygiene • Safety • Secondary use • Public Perception
DNA • Physical sample required • Slow to process • Lowest FAR & FRR • FTE & FTA of 0%
DNA – Acceptability? • 97% were happy to include a photograph • 79% fingerprints • 62% eye recognition (no distinction was made between iris and retina scans) • 41% approved of the inclusion of DNA details Hiltz, Han, Briller. “Public Attitudes towards a National Identity "Smart Card:" Privacy and Security Concerns” (2003)
DNA – Foolproof? • Scene of crime samples in particular may be contaminated, degraded, and misinterpreted (especially if mixed). Human errors (e.g. sample mix-ups) will occur. • Need for corroborating evidence. • Expanding databases could lead to an over-reliance on ‘cold hits’. • Increased potential for ‘framing’ of suspects? • “The forensic use of Bioinformation: ethical issues” Nuffield Council on Bioethics (2007)
Privacy Assessment - 2 International Biometric Group – www.bioprivacy.org
Legal Background • Enabling Legislation • Constraints • Uses and Abuses • Challenges
Enabling Legislation • NDNAD's • UK – 3.8 million samples by Jan 2007 (6%) • Canada • Australia • NZ • USA • Prum: “Member States shall open and keep national DNA analysis files for the investigation of criminal offences”
Constraints • Privacy • Human Rights • US Constitution • Common Law • Privacy Acts • Data Protection Law
Challenges • UK – via HRA 1998 Articles 8 and/or 14 • R v Marper – now at ECHR • US – via 4th Amendment • US v Kincade • Johson v Quander • Canada – via s.8 of CCRF • R v Rodgers
Uses and Abuses • Collection and Retention • Forensic DNAD's • Other DNAD's • Data Sharing • Privacy Challenges • Evidence • Scope Creep • Ethics - What is identity?
Conclusion • ID fraud becomes worse if there is a single strong identifier • Biometrics do not offer non-repudiation • Biometrics should be confined to smart cards or encrypted if on databases • Biometrics are useless once compromised
Questions laurence.edge@resultex.co.nz