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提出了一种基于混沌神经网络的单向Hash函数,该方法通过使用以混沌分段线性函数作为输出函数的神经网络和基于时空混沌的密钥生成函数实现明文和密钥信息的混淆和扩散,并基于密码块连接模式实现对任意长度的明文序列产生128位的Hash值.理论分析和实验结果表明,提出的Hash函数可满足所要求的单向性,初值和密钥敏感性,抗碰撞性和实时性等要求.
This paper proposes a one-way Hash function based on chaotic neural network. This method realizes the confusion and diffusion of plaintext and key information by using the neural network with chaotic piecewise linear function as output function and the key generation function based on spatiotemporal chaos, And a 128-bit Hash value is generated for a plaintext sequence of any length based on a cipher block connection mode.Theoretical analysis and experimental results show that the proposed Hash function can meet the required unidirectional, initial value and key sensitivity, anti-collision Sex and real-time requirements.