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1887

access icon free Measuring and mitigating targeted biometric impersonation

© The Institution of Engineering and Technology
Received 07/08/2013, Accepted 07/01/2014, Revised 13/12/2013, Published 17/02/2014

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.

Inspec keywords: face recognition; image forensics

Other keywords: random zero-effort attacks; biometric verification systems; face recognition challenge; targeted biometric impersonation attacks; client-specific Z-score normalisation; forensic applications; forensic investigation process; criminal activity

Subjects: Image recognition; Computer vision and image processing techniques

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-bmt.2013.0054
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