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 authentication across multiple mobile devices that offers increased security and requires less user interaction.
  author = {Hintze, Daniel and Muaaz, Muhammad and Findling, Rainhard Dieter and Scholz, S. and Koch, E. and Mayrhofer, Ren\'e},
  title = {Confidence and Risk Estimation Plugins for Multi-Modal
  		  Authentication on Mobile Devices using CORMORANT},
  booktitle = {13th International Conference on Advances in Mobile
  		  Computing and Multimedia ({MoMM} 2015)},
  year = {2015},
  pages = {384--388},
  address = {Brussels, Belgium},
  month = dec,
  publisher = {ACM},
  doi = {10.1145/2837126.2843845}