A behavioral biometrics based authentication method for MOOC's that is robust against imitation attempts

Authors:
Markus Krause
Affiliations:
Leibniz University, Hannover, Germany
Venue:
Proceedings of the first ACM conference on Learning @ scale conference
Year:
2014

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Abstract

Ensuring authorship in online taken exams is a major challenge for e-learning in general and MOOC's in particular. In this paper, we introduce and evaluate a method to verify student identities using stylometry. We present a carefully composed feature set and use it with a K-Nearest Neighbor algorithm. We demonstrate that our method can effectively authenticate authors and is robust against imitation attacks.