Strong proofs of knowledge

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Abstract

The concept of proofs-of-knowledge, introduced in the seminal paper of Goldwasser, Micali and Rackoff, plays a central role in various cryptographic applications. An adequate formulation, which enables modular applications of proofs of knowledge inside other protocols, was presented by Bellare and Goldreich. However, this formulation depends in an essential way on the notion of expected (rather than worst-case) running-time. Here we present a seemingly more restricted notion that maintains the main feature of the prior definition while referring only to machines that run in strict probabilistic polynomial-time (rather than to expected polynomial-time). © 2011 Springer-Verlag Berlin Heidelberg.

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Goldreich, O. (2011). Strong proofs of knowledge. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6650 LNCS, 54–58. https://doi.org/10.1007/978-3-642-22670-0_7

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