CORMORANT: On Implementing Risk-Aware Multi-Modal Biometric Cross-Device Authentication For Android

Daniel Hintze, Matthias Füller, Sebastian Scholz, Rainhard Findling, Muhammad Muaaz, Philipp Kapfer, Wilhelm Nüßer, Rene Mayrhofer

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

Abstract

CORMORANT , an Android authentication framework able to increase usability and security of mobile authentication. It uses transparent behavioral and physiological biometrics like gait, face, voice, and keystrokes dynamics to continuously evaluate the user’s identity without explicit interaction. Using signals like location, time of day, and nearby devices to assess the risk of unauthorized access, the required level of confidence in the user’s identity is dynamically adjusted. Authentication results are shared securely, end-to-end
encrypted using the Signal messaging protocol, with trusted devices to facilitate cross-device authentication for co-located devices, detected using Bluetooth low energy beacons. CORMORANT is able to reduce the authentication overhead by up to 97% compared to conventional knowledge-based authentication whilst increasing security at the same time. We share our perspective on some of the successes and shortcomings we encountered implementing and evaluating CORMORANT to hope to inform others working on similar projects.
Original languageEnglish
Title of host publication17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019)
PublisherACM
Number of pages10
ISBN (Electronic)978-1-4503-7178-0
DOIs
Publication statusAccepted/In press - 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Advances in Mobile Computing and Multimedia - Munich, Germany
Duration: 2 Dec 20194 Dec 2019
Conference number: 17

Conference

ConferenceInternational Conference on Advances in Mobile Computing and Multimedia
Abbreviated titleMoMM
CountryGermany
CityMunich
Period02/12/201904/12/2019

Keywords

  • authentication
  • closed-eye
  • EOG sensors
  • hands-free
  • gaze gestures
  • mobile
  • password
  • smart glasses

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  • Cite this

    Hintze, D., Füller, M., Scholz, S., Findling, R., Muaaz, M., Kapfer, P., ... Mayrhofer, R. (Accepted/In press). CORMORANT: On Implementing Risk-Aware Multi-Modal Biometric Cross-Device Authentication For Android. In 17th International Conference on Advances in Mobile Computing & Multimedia (MoMM2019) ACM. https://doi.org/10.1145/3365921.3365923