A novel image encryption algorithm based on chaotic maps and GF(28) exponent transformation

In this paper, we propose an image encryption algorithm that is based on GF(2 8 ) transformations, using the Arnold cat map and incorporating the nonlinear chaotic algorithm. The plain image is processed with the nonlinear chaotic algorithm and is shuffled iteratively with the Arnold cat map, while...

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Veröffentlicht in:Nonlinear dynamics Jg. 72; H. 1-2; S. 399 - 406
Hauptverfasser: Hussain, Iqtadar, Shah, Tariq, Gondal, Muhammad Asif, Mahmood, Hasan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer Netherlands 01.04.2013
Springer Nature B.V
Schlagworte:
Algorithms
Automotive Engineering
Chaos theory
Classical Mechanics
Control
Data encryption
Dynamical Systems
Encryption
Engineering
Mechanical Engineering
Nonlinearity
Original Paper
Pixels
Transformations
Vibration
Nonlinear chaotic algorithm
Arnold cat maps
Image encryption
ISSN:0924-090X, 1573-269X
Online-Zugang:Volltext
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Zusammenfassung:In this paper, we propose an image encryption algorithm that is based on GF(2 8 ) transformations, using the Arnold cat map and incorporating the nonlinear chaotic algorithm. The plain image is processed with the nonlinear chaotic algorithm and is shuffled iteratively with the Arnold cat map, while transforming the image pixel values into GF(2 8 ). We show that the encryption characteristics of this approach are better as compared to some well known encryption algorithms.
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ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-012-0723-5