基于混沌神经网络的单向Hash函数  

One-way Hash function based on chaotic neural network

作　　者：刘光杰[1] 单梁[1] 戴跃伟[1] 孙金生[1] 王执铨[1] 

机构地区：[1]南京理工大学自动化学院,南京210094

出　　处：《物理学报》2006年第11期5688-5693,共6页Acta Physica Sinica

基　　金：国家自然科学基金(批准号:60374066);江苏省自然科学基金(批准号:BK2004132)资助的课题.~~

摘　　要：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.In this paper, a new one-way Hash function is proposed based on chaotic neural network. With the neural network with piecewise linear chaotic map as the output function, the key generation function based on spatiotemporal chaotic system are used to realized the data confusion and diffusion. By the cipher block chaining mode, the proposed method can produce 12S-bit Hash value for plaintext with arbitrary length. Theoretical analysis and experimental results indicate that the proposed Hash function satisfies the demands in performance, such as being one-way, having initial value and key sensitivity, collision resistance and real-time applicability.

关 键 词：混沌神经网络 HASH函数 分段线性混沌映射 时空混沌 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN918[自动化与计算机技术—控制科学与工程]