A Novel Shuffling Technique Based on Fractional Chaotic Maps
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Gmbh
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
An image encryption technique based on the fractional logistic map is designed in this work. A novel shuffling technique is established by use of fractional chaotic signals. Then it is used to scramble pixel positions. The results are analyzed in comparison with the classical logistic map. Since the employed fractional chaotic map holds complicated dynamics behavior, the encryption result is highly secure. Moreover, by experimental and statistical analysis, we demonstrate that the encryption performance is better than the results in literature. (C) 2018 Published by Elsevier GmbH.
Description
Wu, Guo-Cheng/0000-0002-1946-6770
ORCID
Keywords
Image Encryption Technique, Shuffling Technique, Fractional Chaotic Series, Statistical Analysis
Fields of Science
0103 physical sciences, 01 natural sciences
Citation
Baleanu, Dumitru; Bai, Yun-Ru; Wu, Guo-Cheng, "A novel shuffling technique based on fractional chaotic maps", Optik, 168, pp. 553-562, (2018).
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
24
Source
Optik
Volume
168
Issue
Start Page
553
End Page
562
PlumX Metrics
Citations
CrossRef : 2
Scopus : 25
Captures
Mendeley Readers : 7
SCOPUS™ Citations
27
checked on Feb 24, 2026
Web of Science™ Citations
22
checked on Feb 24, 2026
Page Views
2
checked on Feb 24, 2026
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