Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting

Ulrich Scherhag, Andreas Nautsch, Christian Rathgeb, Marta Gomez-Barrero, Raymond N.J. Veldhuis, Luuk Spreeuwers, Maikel Schils, Davide Maltoni, Patrick Grother, Sebastien Marcel, Ralph Breithaupt, Raghavendra Ramachandra, Christoph Busch

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

13 Citations (Scopus)
2 Downloads (Pure)

Abstract

With the widespread deployment of biometric recognition systems, the interest in attacking these systems is increasing. One of the easiest ways to circumvent a biometric recognition system are so-called presentation attacks, in which artefacts are presented to the sensor to either impersonate another subject or avoid being recognised. In the recent past, the vulnerabilities of biometric systems to so-called morphing attacks have been unveiled. In such attacks, biometric samples of multiple subjects are merged in the signal or feature domain, in order to allow a successful verification of all contributing subjects against the morphed identity. Being a recent area of research, there is to date no standardised manner to evaluate the vulnerability of biometric systems to these attacks. Hence, it is not yet possible to establish a common benchmark between different morph detection algorithms. In this paper, we tackle this issue proposing new metrics for vulnerability reporting, which build upon our joint experience in researching this challenging attack scenario. In addition, recommendations on the assessment of morphing techniques and morphing detection metrics are given.

Original languageEnglish
Title of host publication2017 International Conference of the Biometrics Special Interest Group, BIOSIG 2017
PublisherGesellschaft für Informatik
ISBN (Electronic)9783885796640
DOIs
Publication statusPublished - 28 Sep 2017
Event16th International Conference of the Biometrics Special Interest Group 2017 - Darmstadt, Germany
Duration: 20 Sep 201722 Sep 2017
Conference number: 16
http://fg-biosig.gi.de/archiv/biosig-2017.html

Conference

Conference16th International Conference of the Biometrics Special Interest Group 2017
Abbreviated titleBIOSIG 2017
CountryGermany
CityDarmstadt
Period20/09/1722/09/17
Internet address

Fingerprint

Biometrics
Sensors

Keywords

  • Attack Detection
  • Biometrics
  • Morphing
  • Performance Reporting

Cite this

Scherhag, U., Nautsch, A., Rathgeb, C., Gomez-Barrero, M., Veldhuis, R. N. J., Spreeuwers, L., ... Busch, C. (2017). Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting. In 2017 International Conference of the Biometrics Special Interest Group, BIOSIG 2017 [8053499] Gesellschaft für Informatik. https://doi.org/10.23919/BIOSIG.2017.8053499
Scherhag, Ulrich ; Nautsch, Andreas ; Rathgeb, Christian ; Gomez-Barrero, Marta ; Veldhuis, Raymond N.J. ; Spreeuwers, Luuk ; Schils, Maikel ; Maltoni, Davide ; Grother, Patrick ; Marcel, Sebastien ; Breithaupt, Ralph ; Ramachandra, Raghavendra ; Busch, Christoph. / Biometric Systems under Morphing Attacks : Assessment of Morphing Techniques and Vulnerability Reporting. 2017 International Conference of the Biometrics Special Interest Group, BIOSIG 2017. Gesellschaft für Informatik, 2017.
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abstract = "With the widespread deployment of biometric recognition systems, the interest in attacking these systems is increasing. One of the easiest ways to circumvent a biometric recognition system are so-called presentation attacks, in which artefacts are presented to the sensor to either impersonate another subject or avoid being recognised. In the recent past, the vulnerabilities of biometric systems to so-called morphing attacks have been unveiled. In such attacks, biometric samples of multiple subjects are merged in the signal or feature domain, in order to allow a successful verification of all contributing subjects against the morphed identity. Being a recent area of research, there is to date no standardised manner to evaluate the vulnerability of biometric systems to these attacks. Hence, it is not yet possible to establish a common benchmark between different morph detection algorithms. In this paper, we tackle this issue proposing new metrics for vulnerability reporting, which build upon our joint experience in researching this challenging attack scenario. In addition, recommendations on the assessment of morphing techniques and morphing detection metrics are given.",
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Scherhag, U, Nautsch, A, Rathgeb, C, Gomez-Barrero, M, Veldhuis, RNJ, Spreeuwers, L, Schils, M, Maltoni, D, Grother, P, Marcel, S, Breithaupt, R, Ramachandra, R & Busch, C 2017, Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting. in 2017 International Conference of the Biometrics Special Interest Group, BIOSIG 2017., 8053499, Gesellschaft für Informatik, 16th International Conference of the Biometrics Special Interest Group 2017, Darmstadt, Germany, 20/09/17. https://doi.org/10.23919/BIOSIG.2017.8053499

Biometric Systems under Morphing Attacks : Assessment of Morphing Techniques and Vulnerability Reporting. / Scherhag, Ulrich; Nautsch, Andreas; Rathgeb, Christian; Gomez-Barrero, Marta; Veldhuis, Raymond N.J.; Spreeuwers, Luuk; Schils, Maikel; Maltoni, Davide; Grother, Patrick; Marcel, Sebastien; Breithaupt, Ralph; Ramachandra, Raghavendra; Busch, Christoph.

2017 International Conference of the Biometrics Special Interest Group, BIOSIG 2017. Gesellschaft für Informatik, 2017. 8053499.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Biometric Systems under Morphing Attacks

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AU - Scherhag, Ulrich

AU - Nautsch, Andreas

AU - Rathgeb, Christian

AU - Gomez-Barrero, Marta

AU - Veldhuis, Raymond N.J.

AU - Spreeuwers, Luuk

AU - Schils, Maikel

AU - Maltoni, Davide

AU - Grother, Patrick

AU - Marcel, Sebastien

AU - Breithaupt, Ralph

AU - Ramachandra, Raghavendra

AU - Busch, Christoph

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N2 - With the widespread deployment of biometric recognition systems, the interest in attacking these systems is increasing. One of the easiest ways to circumvent a biometric recognition system are so-called presentation attacks, in which artefacts are presented to the sensor to either impersonate another subject or avoid being recognised. In the recent past, the vulnerabilities of biometric systems to so-called morphing attacks have been unveiled. In such attacks, biometric samples of multiple subjects are merged in the signal or feature domain, in order to allow a successful verification of all contributing subjects against the morphed identity. Being a recent area of research, there is to date no standardised manner to evaluate the vulnerability of biometric systems to these attacks. Hence, it is not yet possible to establish a common benchmark between different morph detection algorithms. In this paper, we tackle this issue proposing new metrics for vulnerability reporting, which build upon our joint experience in researching this challenging attack scenario. In addition, recommendations on the assessment of morphing techniques and morphing detection metrics are given.

AB - With the widespread deployment of biometric recognition systems, the interest in attacking these systems is increasing. One of the easiest ways to circumvent a biometric recognition system are so-called presentation attacks, in which artefacts are presented to the sensor to either impersonate another subject or avoid being recognised. In the recent past, the vulnerabilities of biometric systems to so-called morphing attacks have been unveiled. In such attacks, biometric samples of multiple subjects are merged in the signal or feature domain, in order to allow a successful verification of all contributing subjects against the morphed identity. Being a recent area of research, there is to date no standardised manner to evaluate the vulnerability of biometric systems to these attacks. Hence, it is not yet possible to establish a common benchmark between different morph detection algorithms. In this paper, we tackle this issue proposing new metrics for vulnerability reporting, which build upon our joint experience in researching this challenging attack scenario. In addition, recommendations on the assessment of morphing techniques and morphing detection metrics are given.

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KW - Biometrics

KW - Morphing

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DO - 10.23919/BIOSIG.2017.8053499

M3 - Conference contribution

BT - 2017 International Conference of the Biometrics Special Interest Group, BIOSIG 2017

PB - Gesellschaft für Informatik

ER -

Scherhag U, Nautsch A, Rathgeb C, Gomez-Barrero M, Veldhuis RNJ, Spreeuwers L et al. Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting. In 2017 International Conference of the Biometrics Special Interest Group, BIOSIG 2017. Gesellschaft für Informatik. 2017. 8053499 https://doi.org/10.23919/BIOSIG.2017.8053499