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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 5/2015

01.07.2015 | Original Article

An efficient chaotic image encryption scheme

verfasst von: Majid Khan, Tariq Shah

Erschienen in: Neural Computing and Applications | Ausgabe 5/2015

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Abstract

In this communication, we have presented a technique to synthesize resilient nonlinear mechanisms for the construction of substitution box for image encryption that utilizes a multiplicative group of nonzero elements of Galois field of order 256. The proposed nonlinear component assists in transforming the intelligible message or plaintext into an enciphered format by the use of exponential and Tinkerbell chaotic maps. The proposed substitution box is sensitive to the initial conditions provided to the chaotic system, which are subsequently used as parameters in creating an instance. The simulation results show that the use of the proposed substitution box to image encryption scheme provides an efficient and secure way for real-time communications.
Vorheriger Artikel A general regression neural network approach for the evaluation of compressive strength of FDM prototypes
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Metadaten
Titel
An efficient chaotic image encryption scheme
verfasst von
Majid Khan
Tariq Shah
Publikationsdatum
01.07.2015
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 5/2015
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-014-1800-0

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