Title
Image Encryption Based on Local Fractional Derivative Complex Logistic Map
Abstract
Local fractional calculus (fractal calculus) plays a crucial role in applications, especially in computer sciences and engineering. One of these applications appears in the theory of chaos. Therefore, this paper studies the dynamics of a fractal complex logistic map and then employs this map to generate chaotic sequences for a new symmetric image encryption algorithm. Firstly, we derive the fractional complex logistic map and investigate its dynamics by determining its equilibria, geometric properties, and chaotic behavior. Secondly, the fractional chaotic sequences of the proposed map are employed to scramble and alter image pixels to increase resistance to decryption attacks. The output findings indicate that the proposed algorithm based on fractional complex logistic maps could effectively encrypt various kinds of images. Furthermore, it has better security performance than several existing algorithms.
Year
DOI
Venue
2022
10.3390/sym14091874
SYMMETRY-BASEL
Keywords
DocType
Volume
fractal, local fractional calculus, complex logistic map, symmetric image encryption algorithm, chaotic function, subordination and superordination, open unit disk, analytic function, univalent function
Journal
14
Issue
ISSN
Citations 
9
2073-8994
0
PageRank 
References 
Authors
0.34
0
5