Multivariates polynomials for hashing

Jintai Ding*, Bo Yin Yang

*Corresponding author for this work

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

14 Citations (Scopus)

Abstract

We propose the idea of building a secure hash using quadratic or higher degree multivariate polynomials over a finite field as the compression function. We analyze some security properties and potential feasibility, where the compression functions are randomly chosen high-degree polynomials, and show that under some plausible assumptions, high-degree polynomials as compression functions has good properties. Next, we propose to improve on the efficiency of the system by using some specially designed polynomials generated by a small number of random parameters, where the security of the system would then relies on stronger assumptions, and we give empirical evidence for the validity of using such polynomials.

Original languageEnglish
Title of host publicationInformation Security and Cryptology - Third SKLOIS Conference, Inscrypt 2007, Revised Selected Papers
Pages358-371
Number of pages14
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event3rd SKLOIS Conference on Information Security and Cryptology, Inscrypt 2007 - Xining, China
Duration: 31 Aug 20075 Sept 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4990 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd SKLOIS Conference on Information Security and Cryptology, Inscrypt 2007
Country/TerritoryChina
CityXining
Period31/08/075/09/07

Keywords

  • Hash function
  • Multivariate polynomials
  • Sparse

Fingerprint

Dive into the research topics of 'Multivariates polynomials for hashing'. Together they form a unique fingerprint.

Cite this