张晓强Zhang Xiaoqiang

副教授

副教授 硕士生导师

所在单位:信息与控制工程学院

职务:教学科研型教师

学历:博士研究生毕业

在职信息:在岗

论文成果

Image encryption based on a genetic algorithm and a chaotic system

发布时间:2021-01-22 点击次数:

发表刊物:IEICE Transactions on Communications
关键字:image encryption; genetic algorithm (GA); chaotic map; chaotic system; spatial domain
摘要:To ensure the security of image transmission, this paper presents a new image encryption algorithm based on a genetic algorithm (GA) and a piecewise linear chaotic map (PWLCM), which adopts the classical diffusion-substitution architecture. The GA is used to identify and output the optimal encrypted image that has the highest entropy value, the lowest correlation coefficient among adjacent pixels and the strongest ability to resist differential attack. The PWLCM is used to scramble pixel positions and change pixel values. Experiments and analyses show that the new algorithm possesses a large key space and resists brute-force, statistical and differential attacks. Meanwhile, the comparative analysis also indicates the superiority of our proposed algorithm over a similar, recently published, algorithm.
第一作者:Xiaoqiang Zhang
合写作者:Yuhu Cheng,Xuesong Wang
论文类型:期刊论文
卷号:E98.B
期号:5
页面范围:824-833
是否译文:
发表时间:2015-05-01
收录刊物:SCI
发布期刊链接:https://doi.org/10.1587/transcom.E98.B.824