Evidence map›Paper›PMID 39953107›Full record

ArticleScientific reports2025

Hyperchaotic hashing: a chaotic hash function based on 2D linear cross-coupled map with parallel feedback structure.

Hao Xing, Rudong Min, Shouliang Li, Zhen Yang, Yi Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hao XingSchool of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China.
Rudong MinSchool of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China.
Shouliang LiSchool of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China. lishoul@lzu.edu.cn.
Zhen YangSchool of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China.
Yi YangSchool of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China.

Funding

Fundamental Research Funds for the Central Universities of China lzujbky-2022-pd12Gansu Provincial Science and Technology Plan Project Foundation 22YF7GA006the National Key Research and Development Program of China, Gansu Provincial Key Talent Project 2023 2021ZD0111405
6 · The paper itself

Abstract

Chaotic systems have been widely employed in constructing hash functions because of their nonlinear characteristics. Nonetheless, some chaotic hash functions are intricately designed, significantly increasing their computational overhead, and some can only generate a single hash value of fixed length, thus lacking flexibility. To overcome the above problems, a novel hash function based on a 2D linear cross-coupled hyperchaotic map (HF-2DLCHM) is introduced and has a parallel feedback structure. Compared to the typical 1D chaotic maps, 2DLCHM has superior dynamic complexity, allowing HF-2DLCHM to resist phase space reconstruction attacks. A parallelizable structure is introduced, enhancing computational efficiency through concurrent processing of operational units. Simultaneously, the feedback mechanism is incorporated to augment the diffusion effect, ensuring better mixing and distribution of information. Moreover, by controlling the size of the input parameter T, the scheme can generate a hash value of [Formula: see text] bits. The experimental results illustrate that this scheme exhibits distribution, confusion, diffusion and collision resistance characteristics approaching their nearly ideal benchmarks while maintaining an acceptable speed. Therefore, this scheme holds substantial practical potential in the domain of data security and privacy protection.

Indexed as

Chaotic mapCryptographic systemsHash functionInformation security

Identifiers

PMID39953107
PMCPMC11828979

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.