首页> 外文期刊>Nonlinear dynamics >A fast image encryption algorithm based on non-adjacent dynamically coupled map lattice model
【24h】

A fast image encryption algorithm based on non-adjacent dynamically coupled map lattice model

机译:一种基于非相邻动态耦合地图格子模型的快速图像加密算法

获取原文
获取原文并翻译 | 示例
       

摘要

This paper proposes a new logistic-dynamic Arnold coupled logistic map lattice model (LDACLML), where coupling coefficient is logistics map. According to the analysis of space-time behavior, Kolmogorov-Sinai entropy and information entropy, it can be found that the state of each lattice of LDACLML is more stable and more chaotic than CML or even ACLML model. When applied in image encryption, security of LDACLML is higher than CML and ACLML. Therefore, based on this model, in this paper, a new fast image encryption algorithm is proposed. In the algorithm, LDACLML is used to generate key stream of permutation and diffusion. By analyzing the performance of encryption and the ability to prevent various attacks, it can be easily determined that the algorithm has a high degree of security and the excellent efficiency; meanwhile, it also validates the excellent features of the LDACLML model from the side.
机译:本文提出了一种新的逻辑 - 动态Arnold耦合物流地图格子模型(LDACLML),其中耦合系数是物流图。 根据空时行为的分析,Kolmogorov-Sinai熵和信息熵,可以发现,LdacLML的每个晶格的状态更稳定,更混乱而不是CML甚至是ACLML模型。 当应用于图像加密时,LDACLML的安全性高于CML和ACLML。 因此,基于该模型,本文提出了一种新的快速图像加密算法。 在算法中,LDACLML用于生成允许置换和扩散的密钥流。 通过分析加密的性能和防止各种攻击的能力,可以很容易地确定该算法具有高度的安全性和优异的效率; 同时,它还验证了从侧面验证LDACLML模型的优异功能。

著录项

  • 来源
    《Nonlinear dynamics》 |2019年第4期|共28页
  • 作者单位

    Dalian Maritime Univ Sch Informat Sci &

    Technol Dalian 116026 Peoples R China;

    Dalian Univ Technol Fac Elect Informat &

    Elect Engn Dalian 116024 Peoples R China;

    Dalian Univ Technol Sch Math Sci Dalian 116024 Peoples R China;

    Chongqing Technol &

    Business Univ Coll Math &

    Stat Chongqing 400067 Peoples R China;

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

    LDACLML system; Logistic dynamic; Fast; Image encryption;

    机译:LDACLML系统;物流动态;快;图像加密;
  • 入库时间 2022-08-20 04:39:45

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