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作 者:傅彬[1] Fu Bin(Shaoxing Vocational&Technical College,Shaoxing 312000,Zhejiang,China)
出 处:《科技通报》2024年第7期26-33,共8页Bulletin of Science and Technology
摘 要:针对Logistic混沌图像加密存在结构简单、参数少、密钥空间小等缺点,本文提出基于松鼠搜索算法的Logistic-Ushiki混沌加密方法。首先提出Logistic和Ushiki融合的混沌映射模型Logistic-Ushiki,其次针对混沌参数缺乏最优的问题,从捕食者概率优化和个体筛选等方面对算法进行优化,最后将改进的松鼠搜索算法对Logis⁃tic-Ushik参数进行优化,并阐述了该模型用于图像加密的过程。仿真实验中,本文算法在统计分析、相邻元素相关性、信息熵和抵抗攻击方面明显优于对比算法的性能。结果表明:该算法在图像加密方面具有较好的效果和安全性。Aiming at the shortcomings of Logistic chaotic image encryption,such as simple structure,few parameters and small key space,we propose Logistic-Ushiki chaotic encryption based on squirrel search algorithm.Firstly,the chaotic mapping model Logistic-Ushiki with Logistic and Ushiki fusion is proposed,secondly,for the problem of lack of optimality of chaotic parameters,we optimize the algorithm in terms of the optimization of predator probability and the screening of individuals,and finally,the improved squirrel search algorithm will be optimized to the Logistic-Ushik parameters,and we describe the model for image encryption process.In the simulation experiments,the algorithm of this paper obviously outperforms the performance of the comparison algorithm in terms of statistical analysis,correlation of neighbouring elements,information entropy and resistance to attacks,and the results show that the algorithm has better effect and security in image encryption.
分 类 号:TP309.7[自动化与计算机技术—计算机系统结构]
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