基于分段线性混沌网络的序列密码算法

摘要

针对 Logistic 混沌序列容易被重构的问题，引入一种外部密钥对 Logistic 方程的初始值和参数进行加密；然后给出一种分段线性混沌网络模型。利用 Logistic 序列对初值的敏感性对混沌网络进行敏感和扩散处理，通过更新控制参数使混沌网络迭代运算产生随机性良好的序列密码。最后的算法分析和仿真实验表明，该算法的密钥具有良好的敏感性，生成的随机序列具有良好的随机性，满足密码学要求。%In response to the issue that Logistic chaotic sequences are easily to be reconstructed,we introduced an external key to encrypt initial values and parameters of Logistic equation;and then put forward a piecewise linear chaotic networks model.It uses the sensitivity of Logistic sequence on initial values to process the chaotic networks in terms of sensitivity and diffusion,and enables the chaotic networks to iteratively operate through renewing the control parameters so as to generate the stream cipher with good stochastic property.The final algorithm analysis and simulation experiments proved that the keys of the algorithm have good sensitivity;and the generated random sequences have good stochastic property as well,and satisfy the requirement of cryptography.