Algebraic distinguishers: From discrete logarithms to decisional uber assumptions

Lior Rotem, Gil Segev

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


The algebraic group model, introduced by Fuchsbauer, Kiltz and Loss (CRYPTO ’18), is a substantial relaxation of the generic group model capturing algorithms that may exploit the representation of the underlying group. This idealized yet realistic model was shown useful for reasoning about cryptographic assumptions and security properties defined via computational problems. However, it does not generally capture assumptions and properties defined via decisional problems. As such problems play a key role in the foundations and applications of cryptography, this leaves a significant gap between the restrictive generic group model and the standard model. We put forward the notion of algebraic distinguishers, strengthening the algebraic group model by enabling it to capture decisional problems. Within our framework we then reveal new insights on the algebraic interplay between a wide variety of decisional assumptions. These include the decisional Diffie-Hellman assumption, the family of Linear assumptions in multilinear groups, and the family of Uber assumptions in bilinear groups. Our main technical results establish that, from an algebraic perspective, these decisional assumptions are in fact all polynomially equivalent to either the most basic discrete logarithm assumption or to its higher-order variant, the q-discrete logarithm assumption. On the one hand, these results increase the confidence in these strong decisional assumptions, while on the other hand, they enable to direct cryptanalytic efforts towards either extracting discrete logarithms or significantly deviating from standard algebraic techniques.

Original languageAmerican English
Title of host publicationTheory of Cryptography - 18th International Conference, TCC 2020, Proceedings
EditorsRafael Pass, Krzysztof Pietrzak
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages24
ISBN (Print)9783030643805
StatePublished - 2020
Event18th International Conference on Theory of Cryptography, TCCC 2020 - Durham, United States
Duration: 16 Nov 202019 Nov 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12552 LNCS


Conference18th International Conference on Theory of Cryptography, TCCC 2020
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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