A chaotic convolutional encryption scheme based on multiple chaos mapping
Xiaozhong Zhang, Ying Wang, Yongming Wang · 2017
In this paper, we propose a chaotic convolutional encryption scheme based on multiple chaos mapping. The scheme employs the characteristics of pseudo randomness and sensitivity to initial conditions of chaos mapping. It generates time-varying state transition matrix through modulo-two adder between multiple chaos sequences and input data as well as the state values of status registers in convolutional encoder. The scheme can encrypt the data sequences while providing the channel coding features. It's shown by simulation results and analysis that the scheme can not only effectively encrypt the information and enhance the randomness of output signals, but also reach similar performance to traditional convolutional code.