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The uber-assumption family a unified complexity framework for bilinear groups

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5209 LNCS 39-56
DOI: 10.1007/978-3-540-85538-5_3
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Abstract

We offer an exposition of Boneh, Boyen, and Goh's "uber- assumption" family for analyzing the validity and strength of pairing assumptions in the generic-group model, and augment the original BBG framework with a few simple but useful extensions. © Springer-Verlag Berlin Heidelberg 2008.

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Boyen, X. (2008). The uber-assumption family a unified complexity framework for bilinear groups. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5209 LNCS, pp. 39–56). https://doi.org/10.1007/978-3-540-85538-5_3

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