Poster: Rethinking fingerprint identification on smartphones

Seungyeon Kim, Hoyeon Lee, Taekyoung Kwon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


Modern smartphones popularly adopt a small touch sensor for fingerprint identification of a user, but it captures only a partial limited portion of a fingerprint. Recently we have studied a gap between actual risk and user perception of latent fingerprints remaining on a smartphone, and developed a fake fingerprint a.ack that exploits the latent fingerprints as actual risk. We successfully reconstructed a fake fingerprint image in good quality for small touch sensors. In this paper, we subsequently conduct post hoc experimental studies on the facts that we have missed or have since learned. First of all, we examine that the presented a.ack is not conceptual but realistic. We employ the reconstructed image and make its fake fingerprint, using a conductive printing or a silicon-like glue, to pass directly the touch sensor of real smartphones. Our target smartphones are Samsung Galaxy S6, S7 and iPhone 5s, 6, 7. Indeed we have succeeded in passing Galaxy S6, S7, and now work on the remaining smartphones. We also conduct an experimental study for one of our mitigation methods to see how it can reduce actual risk. Finally, we perform a user survey study to understand user perception on the fake fingerprint a.acks and the mitigation methods.

Original languageEnglish
Title of host publicationCCS 2017 - Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery
Number of pages3
ISBN (Electronic)9781450349468
Publication statusPublished - 2017 Oct 30
Event24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017 - Dallas, United States
Duration: 2017 Oct 302017 Nov 3

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221


Other24th ACM SIGSAC Conference on Computer and Communications Security, CCS 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications


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