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

    15 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.
    @inproceedings{d437f408c5204643ba38d012f2afd2be,
    title = "Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting",
    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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    author = "Ulrich Scherhag and Andreas Nautsch and Christian Rathgeb and Marta Gomez-Barrero and Veldhuis, {Raymond N.J.} and Luuk Spreeuwers and Maikel Schils and Davide Maltoni and Patrick Grother and Sebastien Marcel and Ralph Breithaupt and Raghavendra Ramachandra and Christoph Busch",
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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

    TY - GEN

    T1 - Biometric Systems under Morphing Attacks

    T2 - Assessment of Morphing Techniques and Vulnerability Reporting

    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

    PY - 2017/9/28

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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

    KW - Performance Reporting

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    DO - 10.23919/BIOSIG.2017.8053499

    M3 - Conference contribution

    AN - SCOPUS:85034592585

    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