Evidence map›Paper›PMID 34696050›Full record

ArticleSensors (Basel, Switzerland)2021

Integrated Time-Fractional Diffusion Processes for Fractional-Order Chaos-Based Image Encryption.

Fudong Ge, Zufa Qin, YangQuan Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Fudong GeSchool of Computer Science, China University of Geosciences, Wuhan 430074, China.
Zufa QinSchool of Computer Science, China University of Geosciences, Wuhan 430074, China.
YangQuan ChenSchool of Engineering (MESA-Lab), University of California, Merced, CA 95343, USA.ORCID 0000-0002-7422-5988

Funding

Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan CUGGC05National Natural Science Foundation of China 41801365National Natural Science Foundation of China 61907039
6 · The paper itself

Abstract

The purpose of this paper is to explore a novel image encryption algorithm that is developed by combining the fractional-order Chua's system and the 1D time-fractional diffusion system of order α∈(0,1]. To this end, we first discuss basic properties of the fractional-order Chua's system and the 1D time-fractional diffusion system. After these, a new spatiotemporal chaos-based cryptosystem is proposed by designing the chaotic sequence of the fractional-order Chua's system as the initial condition and the boundary conditions of the studied time-fractional diffusion system. It is shown that the proposed image encryption algorithm can gain excellent encryption performance with the properties of larger secret key space, higher sensitivity to initial-boundary conditions, better random-like sequence and faster encryption speed. Efficiency and reliability of the given encryption algorithm are finally illustrated by a computer experiment with detailed security analysis.

Indexed as

fractional-order Chua’s systemimage encryptionspatiotemporal chaostime-fractional diffusion processes

Identifiers

PMID34696050
PMCPMC8537591

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Registered trials

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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.