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On Probabilistic versus Deterministic Provers in the Definition of Proofs of Knowledge

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6650))

Abstract

This article points out a gap between two natural formulations of the concept of a proof of knowledge, and shows that in all natural cases (e.g., NP-statements) this gap can be bridged. The aforementioned formulations differ by whether they refer to (all possible) probabilistic or deterministic prover strategies. Unlike in the rest of cryptography, in the current context, the obvious transformation of probabilistic strategies to deterministic strategies does not seem to suffice per se. The source of trouble is “bad interaction” between the expectation operator and other operators, which appear in the definition of a proof of knowledge (reviewed here).

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References

  1. Bellare, M., Goldreich, O.: On Defining Proofs of Knowledge. In: Brickell, E.F. (ed.) CRYPTO 1992. LNCS, vol. 740, pp. 390–420. Springer, Heidelberg (1993)

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  2. Goldreich, O.: Foundation of Cryptography – Basic Tools. Cambridge University Press, Cambridge (2001)

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  4. Goldwasser, S., Micali, S., Rackoff, C.: The Knowledge Complexity of Interactive Proof Systems. SIAM Journal on Computing 18, 186–208 (1989); Preliminary Version in 17th STOC (1985)

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© 2011 Springer-Verlag Berlin Heidelberg

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Bellare, M., Goldreich, O. (2011). On Probabilistic versus Deterministic Provers in the Definition of Proofs of Knowledge. In: Goldreich, O. (eds) Studies in Complexity and Cryptography. Miscellanea on the Interplay between Randomness and Computation. Lecture Notes in Computer Science, vol 6650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22670-0_14

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  • DOI: https://doi.org/10.1007/978-3-642-22670-0_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22669-4

  • Online ISBN: 978-3-642-22670-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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