Image Encryption Algorithm Based on Dynamic DNA Coding and Chen’s Hyperchaotic System

Jian Zhang, Dezhi Hou and Honge Ren

Mathematical Problems in Engineering, 2016, vol. 2016, 1-11

Abstract:

With the development of national information processes, specific image information from secret departments or individuals is often required to be confidentially transmitted. Numerous image encryption methods exist, especially since the initial value sensitivity and other characteristics of chaos theory and chaos theory-based encryption have become increasingly important in recent years. At present, DNA coding constitutes a new research direction of image encryption that uses the four base pairs of DNA code and image pixel values to establish a special correspondence, in order to achieve pixel diffusion. There are eight DNA encoding rules, and current methods of selecting the DNA encoding rules are largely fixed. Thus, the security of encoded data is not high. In this paper, we use the Lorenz chaotic system, Chen’s hyperchaotic system, and the DNA encoding combination and present a new image encryption algorithm that can dynamically select eight types of DNA encoding rules and eight types of DNA addition and subtraction rules, with significant improvements in security. Through simulation experiments and histograms, correlations, and NPCR analyses, we have determined that the algorithm possesses numerous desirable features, including good encryption effects and antishear and antinoise performances.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6408741

DOI: 10.1155/2016/6408741

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