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Hard instances of the constrained discrete logarithm problem

  • Ilya Mironov
  • , Anton Mityagin
  • , Kobbi Nissim

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations

    Abstract

    The discrete logarithm problem (DLP) generalizes to the constrained DLP, where the secret exponent x belongs to a set known to the attacker. The complexity of generic algorithms for solving the constrained DLP depends on the choice of the set. Motivated by cryptographic applications, we study explicit construction of sets for which the constrained DLP is hard. We draw on earlier results due to Erdös et al. and Schnorr, develop geometric tools such as generalized Menelaus' theorem for proving lower bounds on the complexity of the constrained DLP, and construct explicit sets with provable non-trivial lower bounds.

    Original languageEnglish
    Title of host publicationAlgorithmic Number Theory - 7th International Symposium, ANTS-VII, Proceedings
    PublisherSpringer Verlag
    Pages582-598
    Number of pages17
    ISBN (Print)3540360751, 9783540360759
    DOIs
    StatePublished - 1 Jan 2006
    Event7th International Symposium on Algorithmic Number Theory, ANTS-VII - Berlin, Germany
    Duration: 23 Jul 200628 Jul 2006

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4076 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference7th International Symposium on Algorithmic Number Theory, ANTS-VII
    Country/TerritoryGermany
    CityBerlin
    Period23/07/0628/07/06

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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