One-way hash function based on hyper-chaotic cellular neural network

The design of an efficient one-way hash function with good performance is a hot spot in modern cryptography researches. In this paper,a hash function construction method based on cell neural network with hyper-chaos char-acteristics is proposed. First,the chaos sequence is gotten by iterating cellular neural network with Runge-Kutta algorithm,and then the chaos sequence is iterated with the message. The hash code is obtained through the corre-sponding transform of the latter chaos sequence. Simulation and analysis demonstrate that the new method has the merit of convenience,high sensitivity to initial values,good hash performance,especially the strong stability.