TANG Haozhe,HUANG Yuanyuan,REN Zhenyu,et al.Image Encryption Algorithm based on DNA Coding and Two-dimensional Chaotic System[J].Journal of Chengdu University of Information Technology,2022,37(05):485-493.[doi:10.16836/j.cnki.jcuit.2022.05.001]
基于DNA编码和二维混沌系统的图像加密算法
- Title:
- Image Encryption Algorithm based on DNA Coding and Two-dimensional Chaotic System
- 文章编号:
- 2096-1618(2022)05-0485-09
- 关键词:
- 图像加密; CIE L*a*b*图像空间; Chen混沌; 二维混沌系统组; DNA编码
- Keywords:
- image encryption; CIE L*a*b*color space; Chen chaos; two-dimensional chaotic system group; DNA encoding
- 分类号:
- TP751.1
- 文献标志码:
- A
- 摘要:
- 为解决信息在以图像加密形式传输的途中可能被不法分子截获并破译的问题，提出一种基于DNA编码和二维混沌系统组的图像加密算法，能有效解决图像信息保密问题。算法首先将输入图像转换到CIE(commission international d’eclairage，国际照明委员会)L*a*b*图像色彩空间，并将图片维度降为二维; 然后通过Chen混沌系统产生混沌映射，让图像像素的位置进行置乱操作; 再结合二维Logistic混沌和广义Arnold混沌系统，对图像像素进一步置乱; 最后进行DNA(deoxyribo nucleic acid，脱氧核糖核酸)序列运算，得到密文图像。根据多种针对图像的安全性而做的测试结果表明，该算法不仅提高了传输过程中的安全性，还具有足够的密钥空间，有较小的图像相邻像素值相关性和较大的信息熵等。
- Abstract:
- In order to solve the problem that the information of images may be decoded after being intercepted by hackers in the information transmission nowadays, this paper proposes an image encryption algorithm based on DNA coding and two-dimensional chaotic system group.It can effectively solve the problem of protecting image information while during the transmission process. The algorithm first converts the input the image into CIE L*a*b* image color space and reduces the image to a two-dimensional one, then it generates chaotic mapping through Chen chaotic system, so that the positions of image pixels are scrambled. Then we realize further scrambling by combining with two-dimensional Logistic chaos and generalized Arnold chaos. Finally, DNA sequence operation was performed to obtain the encrypted image. According to a variety of test results for the security of the image, they show that the algorithm can not only improve the security in the transmission process, but it also has sufficient key space, small enough image adjacent pixel value correlation and large enough information entropy.
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备注/Memo
收稿日期:2022-02-02
基金项目:国家自然科学基金资助项目(62102379); 四川省科技厅资助项目(2022NSFSC0557、2021ZYD0020)