Back to Search Start Over

An efficient symmetric image encryption algorithm based on an intertwining logistic map

Authors :
Xiaoling Huang
Guodong Ye
Source :
Neurocomputing. 251:45-53
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

A new structure of pre-modular, permutation, and diffusion (PPD) cipher for image encryption is proposed.Solve the low sensitivity of the plain-image when meeting invariance of pixel summation.Self-adaptive encryption scheme is implemented, and no extra transmission is needed.The keystreams used for encryption are designed dependent on the plain-image. Differing from the traditional permutationdiffusion architecture, an efficient symmetric image encryption algorithm is designed in this paper. To resolve the issue of low sensitivity of a plain-image, which is measured by a unified averaged changing intensity and the number of changing pixel rate, pre-modular operation is proposed to be used for pre-processing a classical encryption algorithm. Because of the invariance of pixel summation in the plain-image before and after pixel positions exchange, the keystream used for the permutation operation is designed to be dependent on the plain-image. Since for most encryption algorithms it is hard to implement the diffusion operation in relation with the plain-image dependence, a self-adaptive encryption scheme is proposed as a remedy. Consequently, the keystream for diffusion becomes dependent on the plain-image, which still satisfies the requirement as a symmetric cipher. To that end, by taking full advantage of the chaotic intertwining logistic map and its unpredictability, a new cipher with pre-modular, permutation and diffusion is designed for image encryption, which is then simulated and tested. Numerical experiments and security analysis demonstrate that the new cipher is secure enough for image communication over the open network.

Details

ISSN :
09252312
Volume :
251
Database :
OpenAIRE
Journal :
Neurocomputing
Accession number :
edsair.doi...........fc488b1351a449f050e57f7d75809772
Full Text :
https://doi.org/10.1016/j.neucom.2017.04.016