吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (增刊1): 405-409.

• 论文 • 上一篇    下一篇

基于掺铒光纤激光器超混沌特性的图像加密算法

刘鹏1, 田小建1, 曹军胜2, 杨悦1   

  1. 1. 吉林大学 电子科学与工程学院,长春 130022;
    2. 中国科学院 长春光学精密机械与物理研究所,长春130033
  • 收稿日期:2011-01-11 出版日期:2012-09-01 发布日期:2012-09-01
  • 通讯作者: 杨悦(1977-),女,讲师.研究方向:医学图像处理.E-mail:yangyue@jlu.edu.cn E-mail:yangyue@jlu.edu.cn
  • 作者简介:刘鹏(1978-),男,博士研究生.研究方向:超混沌数字加密.E-mail:xinzhi000@163.com
  • 基金资助:

    国家自然科学基金项目(61006054).

Image encryption algorithm based on hyper-chaos of Er-doped fiber laser

LIU Peng1, TIAN Xiao-jian1, CAO Jun-sheng2, YANG Yue1   

  1. 1. College of Electronic Science and Engineering, Jilin University, Changchun 130022, China;
    2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • Received:2011-01-11 Online:2012-09-01 Published:2012-09-01

摘要: 针对基于低维混沌系统的图像加密算法安全性不高的问题,提出了一种新的基于掺铒光纤激光器(Er-doped fiber laser,EDFL)超混沌特性的数字图像加密算法。算法包括置乱和扩散两个阶段:首先利用离散标准混沌映射对明文图像像素位置进行置乱,同时为了提高算法效率,通过像素间的异或操作将扩散效果引入置乱阶段。然后利用EDFL超混沌系统产生的值加密置乱后的像素值,从而得到密文图像。试验结果表明:本文算法密钥空间大,密文对密钥和明文充分敏感,只需置乱和扩散的一轮循环即可获得良好的加密效果和较高的安全性能。

关键词: 信息处理技术, 图像加密, 超混沌, 掺铒光纤激光器, 扩散

Abstract: For the problem that the security of image encryption algorithm based on low-dimensional chaotic is not high, a new digital image encryption algorithm based on hyper-chaos behavior in Er-doped fiber laser (EDFL) was proposed. The algorithm consists of the substitution stage and the diffusion stage: first the pixel position of plain-image was shuffled using discrete standard chaotic mapping, meanwhile, the diffusion effect was lead into the substitution stage by XOR operations between pixels to improve the efficiency of the algorithm. Then, the values which generated by EDFL hyper-chaos system was used to encrypt the scrambling pixels, thereby obtain cipher-images. The experimental results demonstrate that the proposed encryption algorithm having large key space, high sensitive to the secret keys and plain-image, good effect of encryption and high security level can be achieved by only one total round of substitution and diffusion.

Key words: information processing, image encryption, hyper-chaos, er-doped fiber laser, diffusion

中图分类号: 

  • TN911.7
[1] Matthews R. On the derivation of a chaotic encryption algorithm[J]. Cryptologia, 1989, 8(1): 29-41.

[2] Chen G R, Mao Y B,Chui C K. A symmetric image encryption based on 3D chaotic maps[J]. Chaos Solitons and Fractals, 2004, 21(3):749-761.

[3] Mao Yao-bin, Chen Guan-rong,Lian Shi-guo. A novel fast image encryption scheme based on 3D chaotic baker maps[J]. International Journal of Bifurcation and Chaos, 2004,14(10):3613-3624.

[4] Zhang Lin-hua, Liao Xiao-feng,Wang Xue-bing. An image encryption approach based on chaotic maps[J]. Chaos Solitons and Fractals, 2005, 24(3):759-765.

[5] Guan Zhi-hong, Huang Fang-jun,Guan Wen-jie. Chaos-based image encryption algorithm[J]. Physics Letters A, 2005, 346(1-3):153-157.

[6] Pérez G,Cerdeira H A. Extracting messages masked by chaos[J]. Physical Review Letters, 1995, 74(11):1970-1973.

[7] okal C,Solak E. Cryptanalysis of a chaos-based image encryption algorithm[J]. Physics Letters A, 2009, 373(15):1357-1360.

[8] Li C, Li S, Chen G, et al. Cryptanalysis of an image encryption scheme based on a compound chaotic sequence[J]. Image and Vision Computing, 2009, 27(8):1035-1039.

[9] Chen C H, Sheu L J, Chen H K, et al. A new hyper-chaotic system and its synchronization[J]. Nonlinear Analysis: Real World Applications, 2009, 10(4):2088-2096.

[10] Gao Tie-gang,Chen Zeng-qiang. A new image encryption algorithm based on hyper-chaos[J]. Physics Letters A, 2008, 372(4):394-400.

[11] Fridrich J. Symmetric ciphers based on two-dimensional chaotic maps[J]. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 1998, 8(6):1259-1284.

[12] Lian Shi-guo, Sun Jin-sheng, Wang Zhi-quan. A block cipher based on a suitable use of the chaotic standard map[J]. Chaos, Solitons and Fractals, 2005, 26(1):117-129.

[13] Luo L G, Tee T J,Chu P L. Chaotic behavior in erbium-doped fiber-ring lasers[J]. Journal of the Optical Society of America B, 1998, 15(3):972-978.

[14] Yanchuk S,Kapitaniak T. Symmetry-increasing bifurcation as a predictor of a chaos-hyperchaos transition in coupled systems[J]. Physical Review E, 2001,64(5):056235-056239.
[1] 苏寒松,代志涛,刘高华,张倩芳. 结合吸收Markov链和流行排序的显著性区域检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1887-1894.
[2] 徐岩,孙美双. 基于卷积神经网络的水下图像增强方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1895-1903.
[3] 黄勇,杨德运,乔赛,慕振国. 高分辨合成孔径雷达图像的耦合传统恒虚警目标检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1904-1909.
[4] 李居朋,张祖成,李墨羽,缪德芳. 基于Kalman滤波的电容屏触控轨迹平滑算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1910-1916.
[5] 应欢,刘松华,唐博文,韩丽芳,周亮. 基于自适应释放策略的低开销确定性重放方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1917-1924.
[6] 陆智俊,钟超,吴敬玉. 星载合成孔径雷达图像小特征的准确分割方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1925-1930.
[7] 刘仲民,王阳,李战明,胡文瑾. 基于简单线性迭代聚类和快速最近邻区域合并的图像分割算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1931-1937.
[8] 单泽彪,刘小松,史红伟,王春阳,石要武. 动态压缩感知波达方向跟踪算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1938-1944.
[9] 姚海洋, 王海燕, 张之琛, 申晓红. 双Duffing振子逆向联合信号检测模型[J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[10] 全薇, 郝晓明, 孙雅东, 柏葆华, 王禹亭. 基于实际眼结构的个性化投影式头盔物镜研制[J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[11] 陈绵书, 苏越, 桑爱军, 李培鹏. 基于空间矢量模型的图像分类方法[J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[12] 陈涛, 崔岳寒, 郭立民. 适用于单快拍的多重信号分类改进算法[J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[13] 孟广伟, 李荣佳, 王欣, 周立明, 顾帅. 压电双材料界面裂纹的强度因子分析[J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[14] 林金花, 王延杰, 孙宏海. 改进的自适应特征细分方法及其对Catmull-Clark曲面的实时绘制[J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[15] 王柯, 刘富, 康冰, 霍彤彤, 周求湛. 基于沙蝎定位猎物的仿生震源定位方法[J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!