Keystroke Biometrics Ongoing Competition (KBOC)
KBOC is an official competition of The IEEE Eighth International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2016) organized by ATVS Biometric Research Group
Keystroke biometrics applications have been investigated over the past several decades, attracting both academics and practitioners. Keystroke is interesting for the pattern recognition research community because of the several challenges associated to modeling and matching dynamic sequences with high intra-class variability (e.g. the human behavior is strongly user-dependent and varies significantly between subjects). In addition, the simple nature of the data (time sequences) makes keystroke biometrics a good field to introduce new researchers (without previous experience on biometric applications) in this challenging area.
The KBOC competition is the first keystroke ongoing competition which overcome the limitations of traditional competitions based on a static snapshot of the state-of-the-art. In addition, the competition includes a public benchmark involving 3600 keystroke sequences from 300 users simulating a realistic scenario in which each user types his own sequence (given name and family name) and 3600 impostor attacks (users who try to spoof the identity of others).
Traditional biometric competitions give a static snapshot of the state-of-the-art in a specific research area. The main problem is how to encourage researchers to invest their resources and time to participate in these competitions (usually operative during a short window of time). Without the participation of the main players, the snapshot will be inaccurate. The ongoing competitions emerge providing a dynamic view updated by the community. The ongoing competition will be available permanently (beyond the BTAS16 conference) and results will be updated automatically under a fully reproducible platform.
There are two modes of participation (participants can freely choose to participate on either one or both modalities):
Important: the participation on the ongoing competition and the use of the platform does not imply the publication of your code. The organizers have not access to the code (if private code is chosen) evaluated by the platform but only to the results obtained.
Important: dataset and evaluation protocols of both types of participation are exactly the same. The results of the competition will be presented together (although type of participation will be mentioned).
Final Ranking (Offline Participation)
P1 = Indian Institute of Technology Kharagpur (India)
P2 = Federal University of Sergipe (Brazil)
P3 = Anonymous
P4 = U.S. Army Research Laboratory (USA)
* The Ongoing competition will continue but only results previous to the deadline will be included in the BTAS competition results.
For more information on BEAT Platform
· Ongoing Evaluation:
· User guide of BEAT platform: https://www.beat-eu.org/platform/static/guide/index.html
· BEAT Platform website: https://www.beat-eu.org/platform/
· Tutorial on BEAT platform: http://www.idiap.ch/~marcel/professional/FG_2015.html
· EU BEAT Project website: https://www.beat-eu.org/
· BOB (signal-processing and machine learning toolbox useful for BEAT developers): http://idiap.github.io/bob/
For more information on reproducible keystroke biometrics on BEAT platform
Aythami Morales, Mario Falanga, Julian Fierrez, Carlo Sansone, Javier Ortega-Garcia, “Keystroke Dynamics Recognition based on Personal Data: A Comparative Experimental Evaluation Implementing Reproducible Research”, Proc. the IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS15), Arlington, Virginia, USA, pp 1-6, 2015. [download]
· (Chair) Dr. Aythami Morales, Universidad Autonoma de Madrid (aythami.morales at uam.es)
· Dr. Julian Fierrez, Universidad Autonoma de Madrid (julian.fierrez at uam.es)
· Dr. Javier Ortega-Garcia, Universidad Autonoma de Madrid (javier.ortega at uam.es)
· Marta Gomez-Barrero, Universidad Autonoma de Madrid (marta.barrero at uam.es)
· Zhenan Sun (znsun at nlpr.ia.ac.cn)
· Ross Beveridge (ross at cs.colostate.edu)
Please report any errors or inconsistencies to firstname.lastname@example.org.