Research on Image Encryption Based on DNA Sequence and Chaos Theory
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Journal / Publication | Journal of Physics: Conference Series |
| Volume | 1004 |
| Issue number | 1 |
| Online published | 25 Apr 2018 |
| Publication status | Online published - 25 Apr 2018 |
Conference
| Title | 2nd International Conference on Machine Vision and Information Technology, CMVIT 2018 |
|---|---|
| Place | Hong Kong |
| Period | 23 - 25 February 2018 |
Link(s)
| DOI | DOI |
|---|---|
| Attachment(s) | Documents
Publisher's Copyright Statement
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| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85047835372&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(513027e7-18ee-4b19-8f17-8f288fac3e2e).html |
Abstract
Nowadays encryption is a common technique to protect image data from unauthorized access. In recent years, many scientists have proposed various encryption algorithms based on DNA sequence to provide a new idea for the design of image encryption algorithm. Therefore, a new method of image encryption based on DNA computing technology is proposed in this paper, whose original image is encrypted by DNA coding and 1-D logistic chaotic mapping. First, the algorithm uses two modules as the encryption key. The first module uses the real DNA sequence, and the second module is made by one-dimensional logistic chaos mapping. Secondly, the algorithm uses DNA complementary rules to encode original image, and uses the key and DNA computing technology to compute each pixel value of the original image, so as to realize the encryption of the whole image. Simulation results show that the algorithm has good encryption effect and security.
Research Area(s)
Citation Format(s)
Research on Image Encryption Based on DNA Sequence and Chaos Theory. / Zhang, Tian Tian; Yan, Shan Jun; Yan Gu, Cheng et al.
In: Journal of Physics: Conference Series, Vol. 1004, No. 1, 25.04.2018.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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