Zusammenfassung
Biometrische Gesichtserkennung ist zur Identifizierung oder Authentifizierung von Personen weit verbreitet. Kürzlich fanden Forscher jedoch heraus, dass Gesichtserkennungssysteme verwundbar gegenüber sogenannten ,,Morphing-Angriffen‘‘ sind. Dieser Beitrag gibt einen Einblick in Morphing Angriffe, schafft einen groben Überblick über den derzeitigen Stand der Technik bzgl. Methoden zur Detektion von gemorphten Gesichtsbildern, und diskutiert offene Fragen und Herausforderungen hinsichtlich Morphing-Angriffs-Detektion.
This is a preview of subscription content, log in via an institution to check access.
Literatur
M. Ferrara, A. Franco und D. Maltoni, „On the Effects of Image Alterations on Face Recognition Accuracy,“ in Face Recognition Across the Imaging Spectrum, Springer International Publishing, 2016.
J. D. Robertson, A. G. Mungall, D. Watson, A. K. Wade, J. S. Nightingale und S. Butler, „Detecting morphed passport photos: a training and individual differences approach,“ Cognitive Research: Principles and Implications, 2018.
U. Scherhag, C. Rathgeb, J. Merkle, R. Breithaupt, and C. Busch. Face recognition systems under morphing attacks: A survey. IEEE Access, 7:23012–23026, 2019.
ISO/IEC JTC1 SC37 Biometrics, ISO/IEC IS 30107-3:2017, IT – Biometric presentation attack detection – Part 3: Testing and Reporting, 2017.
U. Scherhag, A. Nautsch, C. Rathgeb, M. Gomez-Barrero, R. N. J. Veldhuis, L. Spreeuwers, M. Schils, D. Maltoni, P. Grother, S. Marcel, R. Breithaupt und R. Ramachandra, „Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting,“ in Proceedings of the 2017 International Conference of the Biometrics Special Interest Group (BIOSIG), 2017.
R. Ramachandra, K. B. Raja und C. Busch, „Detecting morphed face images,“ in Proceedings of the 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2016.
C. Kraetzer, A. Makrushin, T. Neubert, M. Hildebrandt und J. Dittmann, „Modeling Attacks on Photo-ID Documents and Applying Media Forensics for the Detection of Facial Morphing,“ in Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security – IHMMSec ‘17, 2017.
C. Seibold, W. Samek, A. Hilsmann und P. Eisert, „Detection of Face Morphing Attacks by Deep Learning,“ in Digital Forensics and Watermarking, 2017.
U. Scherhag, C. Rathgeb und C. Busch, „Towards detection of morphed face images in electronic travel documents,“ in Proceedings of the 13th IAPR Workshop on Document Analysis Systems (DAS), 2018.
M. Ferrara, A. Franco und D. Maltoni, „Face Demorphing,“ IEEE Transactions on Information Forensics and Security, 2018.
M. Ngan, P. Grother und K. Hanaoka, „Performance of Automated Facial Morph Detection and Morph Resistant Face Recognition Algorithms,“ National Institute of Standards and Technology (NIST), 2018.
International Civil Aviation Organization, ICAO Doc 9303, Machine Readable Travel Documents – Part 9: Deployment of Biometric Identification and Electronic Storage of Data in MRTDs (7th edition), 2015.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Merkle, J., Rathgeb, C., Scherhag, U. et al. Morphing-Angriffe . Datenschutz Datensich 44, 38–42 (2020). https://doi.org/10.1007/s11623-019-1219-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11623-019-1219-y