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复杂系统与复杂性科学  2018, Vol. 15 Issue (3): 82-88    DOI: 10.13306/j.1672-3813.2018.03.010
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基于Python的彩色图像忆阻系统多稳态加密
施浩楠, 崔昊, 闵富红, 汤丹慧, 管浩浩
南京师范大学南瑞电气与自动化学院,江苏 南京 210046
Memristive System Multi-State Encryption of Color Image Based on Python
SHI Haonan, CUI Hao, MIN Fuhong, TANG Danhui, GUAN Haohao
School of NARI Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210046,China
全文: PDF(3248 KB)  
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摘要 为了增强对彩色图像的有效保护,通过Lyapunov指数谱和分岔图分析了一种四维磁控忆阻模型的多稳态特性,并利用Python编程环境实现了基于该系统的彩色图像加密。像素直方图、相邻像素相关性、抗攻击能力和密钥敏感性等分析表明,忆阻系统混沌态的加密性能要优于其周期态,该特性的分析为选择适合的密钥提供了方法和支持。
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施浩楠
崔昊
闵富红
汤丹慧
管浩浩
关键词 忆阻系统多稳态特性图像加密Python语言    
Abstract:In order to enhance the effective protection of color images, the multi-steady characteristics of a four-dimensional magnetron memristive model is analyzed by Lyapunov exponent spectrum and bifurcation diagrams. The color image encryption based on this system is implemented using Python programming. The analysis of the pixel histogram, the correlation between adjacent pixels, the anti-attack capability and the key sensitivity shows that the encryption performance of the chaotic state of the memristive system is superior to its periodic state. The analysis of the characteristic provides a method and support for selecting the appropriate key.
Key wordsmemristive system    multi-steady characteristics    image encryption    python language
收稿日期: 2018-04-10      出版日期: 2019-01-31
ZTFLH:  TP309.7  
  O415.5  
基金资助:国家级大学生创新创业训练计划项目(201710319015)
通讯作者: 闵富红(1970-),女,江苏海安人,博士,教授,主要研究方向为非线性电路的教学与研究。   
作者简介: 施浩楠(1997-),男,江苏张家港人,本科,主要研究方向为电气工程及其自动化。
引用本文:   
施浩楠, 崔昊, 闵富红, 汤丹慧, 管浩浩. 基于Python的彩色图像忆阻系统多稳态加密[J]. 复杂系统与复杂性科学, 2018, 15(3): 82-88.
SHI Haonan, CUI Hao, MIN Fuhong, TANG Danhui, GUAN Haohao. Memristive System Multi-State Encryption of Color Image Based on Python. Complex Systems and Complexity Science, 2018, 15(3): 82-88.
链接本文:  
http://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2018.03.010      或      http://fzkx.qdu.edu.cn/CN/Y2018/V15/I3/82
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