A self-reversible image encryption algorithm utilizing a novel chaotic map

This paper introduces an innovative self-reversible image encryption algorithm designed to optimize resource utilization and enhance the efficiency of managing encryption and decryption processes in time-division multiplexing communication systems. By ingeniously integrating dual functionalities, th...

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Bibliographic Details
Published in:Nonlinear dynamics Vol. 113; no. 7; pp. 7351 - 7383
Main Author: Li, Lizong
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.04.2025
Springer Nature B.V
Subjects:
Algorithms
Applications of Nonlinear Dynamics and Chaos Theory
Bifurcations
Chaos theory
Classical Mechanics
Communications systems
Control
Dynamic characteristics
Dynamical Systems
Encryption
Entropy (Information theory)
Liapunov exponents
Performance evaluation
Permutations
Physics
Physics and Astronomy
Pseudorandom sequences
Resource utilization
Statistical Physics and Dynamical Systems
Time division multiplexing
Vibration
Self-reversible image encryption algorithm
Mutually invertible confusion
Image encryption
Self-reversible permutation
Chaotic map
Self-reversible shifting
ISSN:0924-090X, 1573-269X
Online Access:Get full text
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Summary:This paper introduces an innovative self-reversible image encryption algorithm designed to optimize resource utilization and enhance the efficiency of managing encryption and decryption processes in time-division multiplexing communication systems. By ingeniously integrating dual functionalities, the algorithm significantly reduces the requirement for hardware and software resources. The proposed algorithm combines self-reversible shifting, self-reversible permutation, and two complementary reversible diffusion processes to ensure overall self-reversibility while enhancing security. A novel enhanced cosine-sine-logistic chaotic map is introduced to generate the pseudo-random sequences essential for encryption. Comprehensive performance evaluations, including analyses of chaotic trajectories, bifurcation diagrams, Lyapunov exponents, sample entropy, the 0–1 test, and NIST assessments, confirm the superior dynamic characteristics of the chaotic model. The image encryption algorithm also exhibits excellent performance in key metrics such as key sensitivity, histogram uniformity, correlation of adjacent pixels, local Shannon entropy, resistance to differential attacks, key space size, and robustness against various attacks. Comparisons with existing algorithms underscore its significant advantages in both encryption performance and efficiency. This study offers new insights and a robust solution for securing image data in real-world network environments.
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ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-024-10726-4