Separating hash families with large universe

Separating hash families are useful combinatorial structures which generalize several well-studied objects in cryptography and coding theory. Let p t ( N , q ) denote the maximum size of universe for a t -perfect hash family of length N over an alphabet of size q . In this paper, we show that q 2 − o ( 1 ) < p t ( t , q ) = o ( q 2 ) for all t ≥ 3 , which answers an open problem about separating hash families raised by Blackburn et al. in 2008 for certain parameters. Previously, this result was known only for t = 3 , 4 . Our proof is obtained by establishing the existence of a large set of integers avoiding nontrivial solutions to a set of correlated linear equations.

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Publication Details

Journal
Journal of Combinatorial Theory Series A
Published
2025-05-29
DOI
https://doi.org/10.1016/j.jcta.2025.106075
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00

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article

Separating hash families with large universe

Gennian Ge, Xiande Zhang, Xin Wei
Journal of Combinatorial Theory Series A
Chaos-based Image/Signal Encryption
article

Separating hash families with large universe

Gennian Ge, Xiande Zhang, Xin Wei
article en

Abstract

Separating hash families are useful combinatorial structures which generalize several well-studied objects in cryptography and coding theory. Let p t ( N , q ) denote the maximum size of universe for a t -perfect hash family of length N over an alphabet of size q . In this paper, we show that q 2 − o ( 1 ) < p t ( t , q ) = o ( q 2 ) for all t ≥ 3 , which answers an open problem about separating hash families raised by Blackburn et al. in 2008 for certain parameters. Previously, this result was known only for t = 3 , 4 . Our proof is obtained by establishing the existence of a large set of integers avoiding nontrivial solutions to a set of correlated linear equations.

Journal of Combinatorial Theory Series AVol. 216
University of Science and Technology of China (CN), Capital Normal University (CN)
National Natural Science Foundation of China
Gender equality
Openalex Percentile: Top 90%
Chaos-based Image/Signal Encryption
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