Evidence map›Paper›PMID 38004947›Full record

ArticleMicromachines2023

A Robust Memristor-Enhanced Polynomial Hyper-Chaotic Map and Its Multi-Channel Image Encryption Application.

Kun Qian, Yang Xiao, Yinjie Wei, Di Liu, Quanwen Wang, Wei Feng

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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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

10 citing papers in PubMed.

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  5. Low Power FANano letters · 2025
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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

6 authors.

Kun QianKey Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications, Hunan Institute of Science and Technology, Yueyang 414006, China.ORCID 0000-0002-1495-8303
Yang XiaoSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.
Yinjie WeiSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.
Di LiuSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.
Quanwen WangSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.
Wei FengSchool of Mathematics and Computer Science, Panzhihua University, Panzhihua 617000, China.ORCID 0000-0003-3023-5225

Funding

Guiding Science and Technology Plan Project of Panzhihua City 2020ZD-S-40Innovation and Entrepreneurship Project for Chinese University Students 202211360021, S202211360072, 202311360019, and 2023cxcy162
6 · The paper itself

Abstract

Nowadays, the utilization of memristors to enhance the dynamical properties of chaotic systems has become a popular research topic. In this paper, we present the design of a novel 2D memristor-enhanced polynomial hyper-chaotic map (2D-MPHM) by utilizing the cross-coupling of two TiO2 memristors. The dynamical properties of the 2D-MPHM were investigated using Lyapunov exponents, bifurcation diagrams, and trajectory diagrams. Additionally, Kolmogorov entropy and sample entropy were also employed to evaluate the complexity of the 2D-MPHM. Numerical analysis has demonstrated the superiority of the 2D-MPHM. Subsequently, the proposed 2D-MPHM was applied to a multi-channel image encryption algorithm (MIEA-MPHM) whose excellent security was demonstrated by key space, key sensitivity, plaintext sensitivity, information entropy, pixel distribution, correlation analysis, and robustness analysis. Finally, the encryption efficiency of the MIEA-MPHM was evaluated via numerous encryption efficiency tests. These tests demonstrate that the MIEA-MPHM not only possesses excellent security but also offers significant efficiency advantages, boasting an average encryption rate of up to 87.2798 Mbps.

Indexed as

hyper-chaotic mapimage encryptionmemristormulti-channelsecurity analysis

Identifiers

PMID38004947
PMCPMC10673070

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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.