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How to Strengthen Any Weakly Unforgeable Signature into a Strongly Unforgeable Signature

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 4377))

Abstract

Standard signature schemes are usually designed only to achieve weak unforgeability – i.e. preventing forgery of signatures on new messages not previously signed. However, most signature schemes are randomised and allow many possible signatures for a single message. In this case, it may be possible to produce a new signature on a previously signed message. Some applications require that this type of forgery also be prevented – this requirement is called strong unforgeability.

At PKC2006, Boneh Shen and Waters presented an efficient transform based on any randomised trapdoor hash function which converts a weakly unforgeable signature into a strongly unforgeable signature and applied it to construct a strongly unforgeable signature based on the CDH problem. However, the transform of Boneh et al only applies to a class of so-called partitioned signatures. Although many schemes fall in this class, some do not, for example the DSA signature. Hence it is natural to ask whether one can obtain a truly generic efficient transform based on any randomised trapdoor hash function which converts any weakly unforgeable signature into a strongly unforgeable one. We answer this question in the positive by presenting a simple modification of the Boneh-Shen-Waters transform. Our modified transform uses two randomised trapdoor hash functions.

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Steinfeld, R., Pieprzyk, J., Wang, H. (2006). How to Strengthen Any Weakly Unforgeable Signature into a Strongly Unforgeable Signature. In: Abe, M. (eds) Topics in Cryptology – CT-RSA 2007. CT-RSA 2007. Lecture Notes in Computer Science, vol 4377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11967668_23

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  • DOI: https://doi.org/10.1007/11967668_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69327-7

  • Online ISBN: 978-3-540-69328-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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