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.<br>
<br><pre>@inproceedings{Hintze_15_ConfidenceandRisk,
  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}
}
</pre>