基于Logistic映射和分段性映射的混沌Hash函数

Chaos-based Hash Function Construction with Logistic Mapping and Piecewise Linear Mapping

提出一种基于Logistic映射和分段性映射的混沌Hash函数构造。该算法将明文信息分组并转换为相应的ASCII码值,分别作为Logistic映射和分段性映射的输入参数进行多次迭代,迭代生成相应明文信息的中间Hash值,最终的Hash值由中间Hash值的异或而得到。该算法实现简单,具有良好的单向散列性能,对初值有高度的敏感性,混乱与扩散性以及抗碰撞性,可以满足Hash函数的各项性能要求。

Chaos-based Hash function construction with logistic mapping and piecewise linear mapping is proposed in this paper.The algorithm divides the message packet and converted to the corresponding ASCII code value,as logistic mapping of the input parameters and the number of iterations,iterative generate intermediate Hash corresponding plaintext value.The final 128-bit Hash value is obtained by logical XOR operation on intermediate Hash values.Theoretical analysis and simulation results indicate that the algorithm has characteristics of one way,confusion and diffusivity,and collision-resistance,and it can satisfy various performance requirements of Hash function.