首页|基于改进混沌麻雀搜索算法S盒与神经元电路的图像加密技术

基于改进混沌麻雀搜索算法S盒与神经元电路的图像加密技术

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鉴于目前的图像加密算法所采用的S盒结构过于简单,易被破解。选用由改进的脉冲耦合尖峰神经元电路得到的混沌映射(MPSNC),并使用该映射对混沌麻雀搜索算法(CSSA)进行优化。随后,结合MPSNC映射和改进后的CSSA,设计新型的混沌S盒。最后,基于MPSNC映射和新型混沌S盒构造一种图像加密算法,为增加S盒的变化,对其进行S 8变换。通过迭代混沌映射生成混沌序列,使用混沌序列和S8 S盒对图像进行扩散和置乱操作,得到加密后的图像。经实验验证,该加密算法参数丰富,复杂度高,并由于S盒的应用,提高了算法的非线性度,具有良好的性能,适用于图像加密。
IMAGE ENCRYPTION TECHNOLOGY BASED ON IMPROVED CHAOTIC SPARROW SEARCH ALGORITHM S-BOX AND NEURON CIRCUIT
The current image encryption algorithm using S-box structure is too simple and is easy to be cracked.The chaotic map(MPSNC)obtained by the improved pulse-coupled spike neuron circuit was used to optimize the CSSA algorithm.A new chaotic S-box was designed by combining MPSNC mapping with the improved CSSA.An image encryption algorithm was constructed based on MPSNC mapping and new chaotic S-box.In order to increase the change of S-box,S8 transform was performed on it.The chaotic sequence was generated by iterative chaotic mapping.The chaotic sequence and S8S box were used to diffuse and scramble the image,and the encrypted image was obtained.Experimental results show that the encryption algorithm has rich parameters and high complexity.Due to the application of S-box,the nonlinearity of the algorithm is improved,and the algorithm has good performance,which is suitable for image encryption.

S-boxNeuron circuitCSSAChaotic mappingS8 transformation

杨超、魏霞、王聪

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新疆大学 新疆乌鲁木齐 830047

S盒 神经元电路 混沌麻雀搜索算法 混沌映射 S8变换

国家自然科学基金项目

51967019

2024

计算机应用与软件
上海市计算技术研究所 上海计算机软件技术开发中心

计算机应用与软件

CSTPCD北大核心
影响因子:0.615
ISSN:1000-386X
年,卷(期):2024.41(10)