Image Encryption Using the Chaotic Josephus Matrix

Gelan Yang, Huixia Jin and Na Bai

Mathematical Problems in Engineering, 2014, vol. 2014, 1-13

Abstract:

This paper presents a new image encryption solution using the chaotic Josephus matrix. It extends the conventional Josephus traversing to a matrix form and proposes a treatment to improve the randomness of this matrix by mixing chaotic maps. It also derives the corresponding encryption primitives controlled by the chaotic Josephus matrix. In this way, it builds up an image encryption system with very high sensitivities in both encryption key and input image. Our simulation results demonstrate that an encrypted image of using this method is very random-like, that is, a uniform-like pixel histogram and very low correlations in adjacent pixels. The design idea of this method is also applicable to data encryption of other types, like audio and video.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:632060

DOI: 10.1155/2014/632060

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