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Signal & Image Processing
Article . 2011 . Peer-reviewed
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Article . 2011
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Article . 2011
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Article . 2011
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https://dx.doi.org/10.48550/ar...
Article . 2011
License: arXiv Non-Exclusive Distribution
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Article . 2020
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Image Encryption Using Differential Evolution Approach in Frequency Domain

Authors: Maaly Awad S. Hassan; Ibrahim Soliman I. Abuhaiba;

Image Encryption Using Differential Evolution Approach in Frequency Domain

Abstract

This paper presents a new effective method for image encryption which employs magnitude and phase manipulation using Differential Evolution (DE) approach. The novelty of this work lies in deploying the concept of keyed discrete Fourier transform (DFT) followed by DE operations for encryption purpose. To this end, a secret key is shared between both encryption and decryption sides. Firstly two dimensional (2-D) keyed discrete Fourier transform is carried out on the original image to be encrypted. Secondly crossover is performed between two components of the encrypted image, which are selected based on Linear Feedback Shift Register (LFSR) index generator. Similarly, keyed mutation is performed on the real parts of a certain components selected based on LFSR index generator. The LFSR index generator initializes it seed with the shared secret key to ensure the security of the resulting indices. The process shuffles the positions of image pixels. A new image encryption scheme based on the DE approach is developed which is composed with a simple diffusion mechanism. The deciphering process is an invertible process using the same key. The resulting encrypted image is found to be fully distorted, resulting in increasing the robustness of the proposed work. The simulation results validate the proposed image encryption scheme.

19 pages, 15 figures, 3 tables

Related Organizations
Keywords

Phase manipulation, FOS: Computer and information sciences, Computer Science - Cryptography and Security, Differential Evolution (DE), Encryption, Magnitude manipulation, Keyed DFT, Mutation, Decryption, LFSR, Crossover, Cryptography and Security (cs.CR)

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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