首页> 外文期刊>The European physical journal: Special topics >Image encryption algorithm based on discrete logarithm and memristive chaotic system
【24h】

Image encryption algorithm based on discrete logarithm and memristive chaotic system

机译:基于离散对数和忆阻混沌系统的图像加密算法

获取原文
获取原文并翻译 | 示例
           

摘要

In order to effectively resist the plaintext attacks introduced in recent cryptanalysis literatures, a reformative image encryption algorithm based on discrete logarithm and a memristive chaotic system is proposed in this paper. Firstly, we realize the permutation and confusion of a plain image by employing the discrete logarithms of memristive chaotic sequences. Then the discrete logarithms of intermediate cipher pixels and memristive chaotic sequences are used in the forward diffusion and backward diffusion of the permuated and confused image. Since the finite multiplication group adopted in this paper has up to 128 generators, we can expand the secret key space and enhance the ability of the proposed image encryption algorithm to resist plaintext attacks, by obtaining the generators through the secret key and the SHA256 hash value of the plain image. Finally, Simulation results and comparative analyses show that the proposed image encryption algorithm is not only secure and efficient, but also has very high practical value.
机译:为了有效地抵抗近期密码分析文献中引入的明文攻击,本文提出了一种基于离散对数的重整性图像加密算法和忆阻系统。首先,我们通过采用模忆混沌序列的离散对数来实现普通图像的置换和混淆。然后,中间密码像素和椎间数混沌序列的离散对数用于允许和混淆图像的前向扩散和向后扩散。由于本文采用的有限乘法集团具有多达128个生成器,我们可以通过秘密密钥和SHA256哈希值获得发电机来扩展秘密关键空间并增强所提出的图像加密算法抵御明文攻击的能力普通图像。最后,仿真结果和比较分析表明,所提出的图像加密算法不仅安全高效,而且具有非常高的实用价值。

著录项

  • 来源
  • 作者单位

    Hunan Inst Sci &

    Technol Coll Phys &

    Elect Yueyang 414006 Peoples R China;

    Wuhan Univ Sch Elect Engn &

    Automat Wuhan 430072 Hubei Peoples R China;

    Hunan Inst Sci &

    Technol Coll Phys &

    Elect Yueyang 414006 Peoples R China;

    Hunan Inst Sci &

    Technol Coll Phys &

    Elect Yueyang 414006 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 物理学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号