CAJ | 학술논문

利用细胞神经网络，提出了一种基于六维细胞神经网络混沌系统的加密算法。由六维细胞神经网络构造出混沌序列，作为加密的秘钥源，根据一种无限折叠映射的混沌系统进行图像置乱，实现图像的加密。编程模拟实验仿真结果表明，加密图像与原始图像相比，直方图更加均匀，相邻像素间的相关性较小，抗攻击性较强，安全保密性较高。
이용세포신경망락，제출료일충기우륙유세포신경망락혼돈계통적가밀산법。유륙유세포신경망락구조출혼돈서렬，작위가밀적비약원，근거일충무한절첩영사적혼돈계통진행도상치란，실현도상적가밀。편정모의실험방진결과표명，가밀도상여원시도상상비，직방도경가균균，상린상소간적상관성교소，항공격성교강，안전보밀성교고。
By studying cellular neural networks were proposed encryption algorithm based on six-dimensional cellular neural network chaotic system. By the characteristics of cellular neural networks to construct a se-quence of six groups of chaos, as the encrypted secret key source, according to an infinite folding map image scrambling, realize image encryption. Finally, the simulation program simulation experiment results show that the encrypted image compared with the original image scrambling degree high correlation between adjacent pix-els is small, strong anti-attack, security is high.