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Image Encryption Algorithm Based on Dynamic DNA Coding and Chen’s Hyperchaotic System
- Source :
- Mathematical Problems in Engineering, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
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.
- Subjects :
- Article Subject
Pixel
business.industry
lcsh:Mathematics
General Mathematics
General Engineering
Subtraction
Chaotic
020206 networking & telecommunications
02 engineering and technology
lcsh:QA1-939
Encryption
01 natural sciences
Chaos theory
010309 optics
lcsh:TA1-2040
Probabilistic encryption
Histogram
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
lcsh:Engineering (General). Civil engineering (General)
business
Algorithm
Coding (social sciences)
Mathematics
Subjects
Details
- ISSN :
- 15635147 and 1024123X
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....a950d965a01261c992c3d32dc9c3c8cc