Generic hardness of the multiple discrete logarithm problem

Aaram Yun

doi:10.1007/978-3-662-46803-6_27

Generic hardness of the multiple discrete logarithm problem

Aaram Yun

Cyber Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

We study generic hardness of the multiple discrete logarithm problem, where the solver has to solve n instances of the discrete logarithm problem simultaneously. There are known generic algorithms which perform O(√np) group operations, where p is the group order, but no generic lower bound was known other than the trivial bound. In this paper we prove the tight generic lower bound, showing that the previously known algorithms are asymptotically optimal. We establish the lower bound by studying hardness of a related computational problem which we call the search-by-hyperplane-queries problem, which may be of independent interest.

Original language	English
Title of host publication	Advances in Cryptology - 34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2015, Proceedings
Editors	Marc Fischlin, Elisabeth Oswald
Publisher	Springer Verlag
Pages	817-836
Number of pages	20
ISBN (Print)	9783662468029
DOIs	https://doi.org/10.1007/978-3-662-46803-6_27
State	Published - 2015
Event	34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Eurocrypt 2015 - Sofia, Bulgaria Duration: 26 Apr 2015 → 30 Apr 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9057
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Eurocrypt 2015
Country/Territory	Bulgaria
City	Sofia
Period	26/04/15 → 30/04/15

Bibliographical note

Publisher Copyright:
© International Association for Cryptologic Research 2015.

Keywords

Generic group model
Multiple discrete logarithm
Search-by-hyperplane-queries

Access to Document

10.1007/978-3-662-46803-6_27

Cite this

Yun, A. (2015). Generic hardness of the multiple discrete logarithm problem. In M. Fischlin, & E. Oswald (Eds.), Advances in Cryptology - 34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2015, Proceedings (pp. 817-836). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9057). Springer Verlag. https://doi.org/10.1007/978-3-662-46803-6_27

Yun, Aaram. / Generic hardness of the multiple discrete logarithm problem. Advances in Cryptology - 34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2015, Proceedings. editor / Marc Fischlin ; Elisabeth Oswald. Springer Verlag, 2015. pp. 817-836 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "We study generic hardness of the multiple discrete logarithm problem, where the solver has to solve n instances of the discrete logarithm problem simultaneously. There are known generic algorithms which perform O(√np) group operations, where p is the group order, but no generic lower bound was known other than the trivial bound. In this paper we prove the tight generic lower bound, showing that the previously known algorithms are asymptotically optimal. We establish the lower bound by studying hardness of a related computational problem which we call the search-by-hyperplane-queries problem, which may be of independent interest.",

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Yun, A 2015, Generic hardness of the multiple discrete logarithm problem. in M Fischlin & E Oswald (eds), Advances in Cryptology - 34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9057, Springer Verlag, pp. 817-836, 34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Eurocrypt 2015, Sofia, Bulgaria, 26/04/15. https://doi.org/10.1007/978-3-662-46803-6_27

Generic hardness of the multiple discrete logarithm problem. / Yun, Aaram.
Advances in Cryptology - 34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2015, Proceedings. ed. / Marc Fischlin; Elisabeth Oswald. Springer Verlag, 2015. p. 817-836 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9057).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We study generic hardness of the multiple discrete logarithm problem, where the solver has to solve n instances of the discrete logarithm problem simultaneously. There are known generic algorithms which perform O(√np) group operations, where p is the group order, but no generic lower bound was known other than the trivial bound. In this paper we prove the tight generic lower bound, showing that the previously known algorithms are asymptotically optimal. We establish the lower bound by studying hardness of a related computational problem which we call the search-by-hyperplane-queries problem, which may be of independent interest.

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Yun A. Generic hardness of the multiple discrete logarithm problem. In Fischlin M, Oswald E, editors, Advances in Cryptology - 34th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2015, Proceedings. Springer Verlag. 2015. p. 817-836. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-662-46803-6_27

Generic hardness of the multiple discrete logarithm problem

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Bibliographical note

Keywords

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Cite this