Confidence and Risk Estimation Plugins for Multi-Modal Authentication on Mobile Devices using CORMORANT

Daniel Hintze, Muhammad Muaaz, Rainhard D. Findling, Sebastian Scholz, Eckhard Koch, René Mayrhofer

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

5 Citations (Scopus)

Abstract

Mobile devices, ubiquitous in modern lifestyle, embody and provide convenient access to our digital lives. Being small and mobile, they are easily lost or stole, therefore require strong authentication to mitigate the risk of unauthorized access. Common knowledge-based mechanism like PIN or pattern, however, fail to scale with the high frequency but short duration of device interactions and ever increasing number of mobile devices carried simultaneously. To overcome these limitations, we present CORMORANT, an extensible framework for risk-aware multi-modal biometric uthentication across multiple mobile devices that offers increased security and requires less user interaction.

Original languageEnglish
Title of host publication13th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2015 - Proceedings
EditorsIsmail Khalil, Matthias Steinbauer, Liming Chen, Gabriele Anderst-Kotsis
PublisherACM
Pages384-388
Number of pages5
ISBN (Electronic)9781450334938
DOIs
Publication statusPublished - 11 Dec 2015
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Advances in Mobile Computing and Multimedia - Brussels, Belgium
Duration: 11 Dec 201513 Dec 2015
Conference number: 13

Conference

ConferenceInternational Conference on Advances in Mobile Computing and Multimedia
Abbreviated titleMoMM
CountryBelgium
CityBrussels
Period11/12/201513/12/2015

Keywords

  • biometrics
  • multi-modal authentication
  • risk assessment

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