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Measuring and mitigating targeted biometric impersonation

Measuring and mitigating targeted biometric impersonation
Measuring and mitigating targeted biometric impersonation
This study is concerned with the reliability of biometric verification systems when used in forensic applications. In particular, when such systems are subjected to targeted impersonation attacks. The authors expand on the existing work in targeted impersonation, focusing on how best to measure the reliability of verification systems in forensic contexts. It identifies two scenarios in which targeted impersonation effects may occur: (i) the forensic investigation of criminal activity involving identity theft; and (ii) implicit targeting as a result of the forensic investigation process. Also, the first partial countermeasure to such attacks is presented. The countermeasure uses client-specific Z-score normalisation to provide a more consistent false acceptance rate across all enrolled subjects. This reduces the effectiveness of targeted impersonation without impairing the systems accuracy under random zero-effort attacks.
2047-4938
1-7
Bustard, John
8fa23e3b-8594-4c87-81c4-a77e774c8c0b
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Hadid, Abdenour
d7d2f038-b1dd-4c43-b58f-a799d37aeb4d
Bustard, John
8fa23e3b-8594-4c87-81c4-a77e774c8c0b
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Hadid, Abdenour
d7d2f038-b1dd-4c43-b58f-a799d37aeb4d

Bustard, John, Carter, John N., Nixon, Mark S. and Hadid, Abdenour (2014) Measuring and mitigating targeted biometric impersonation. IET Biometrics, 1-7. (doi:10.1049/iet-bmt.2013.0054).

Record type: Article

Abstract

This study is concerned with the reliability of biometric verification systems when used in forensic applications. In particular, when such systems are subjected to targeted impersonation attacks. The authors expand on the existing work in targeted impersonation, focusing on how best to measure the reliability of verification systems in forensic contexts. It identifies two scenarios in which targeted impersonation effects may occur: (i) the forensic investigation of criminal activity involving identity theft; and (ii) implicit targeting as a result of the forensic investigation process. Also, the first partial countermeasure to such attacks is presented. The countermeasure uses client-specific Z-score normalisation to provide a more consistent false acceptance rate across all enrolled subjects. This reduces the effectiveness of targeted impersonation without impairing the systems accuracy under random zero-effort attacks.

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e-pub ahead of print date: 17 February 2014
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 363289
URI: http://eprints.soton.ac.uk/id/eprint/363289
ISSN: 2047-4938
PURE UUID: ca94aed9-a61d-4053-bd1b-b1626d53c34f
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

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Date deposited: 20 Mar 2014 12:21
Last modified: 07 Oct 2020 02:35

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