Recently a convex hull based human identification protocol was proposed by Sobrado and Birget, whose steps can be performed by humans without additional aid. The main part of the protocol involves the user mentally forming a convex hull of secret icons in a set of graphical icons and then clicking randomly within this convex hull. In this paper we show two efficient probabilistic attacks on this protocol which reveal the user's secret after the observation of only a handful of authentication sessions. We show that while the first attack can be mitigated through appropriately chosen values of system parameters, the second attack succeeds with a non-negligible probability even with large system parameter values which cross the threshold of usability. © 2011 Springer-Verlag.
CITATION STYLE
Asghar, H. J., Li, S., Pieprzyk, J., & Wang, H. (2011). Cryptanalysis of the convex hull click human identification protocol. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6531 LNCS, pp. 24–30). Springer Verlag. https://doi.org/10.1007/978-3-642-18178-8_3
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