Due to the inefficiency of multiple binary images encryption, a parallel binary image encryption framework based on the typical variants of spiking neural networks, spiking neural P (SNP) systems is proposed in this paper. More specifically, the two basic units in the proposed image cryptosystem, the permutation unit and the diffusion unit, are designed through SNP systems with multiple channels and polarizations (SNP-MCP systems), and SNP systems with astrocyte-like control (SNP-ALC systems), respectively. Different from the serial computing of the traditional image permutation/diffusion unit, SNP-MCP-based permutation/SNP-ALC-based diffusion unit can realize parallel computing through the parallel use of rules inside the neurons. Theoretical analysis results confirm the high efficiency of the binary image proposed cryptosystem. Security analysis experiments demonstrate the security of the proposed cryptosystem.

针对多二进制图像加密效率低下的问题，本文提出了一种基于脉冲神经网络典型变体脉冲神经P（SNP）系统的并行二进制图像加密框架。更具体地说，所提出的图像密码系统中的两个基本单元，置换单元和扩散单元，是通过具有多通道和极化的 SNP 系统（SNP-MCP 系统）和具有星形胶质细胞样控制的 SNP 系统（SNP-ALC）设计的。系统），分别。不同于传统图像置换/扩散单元的串行计算，基于SNP-MCP的置换/基于SNP-ALC的扩散单元可以通过并行使用神经元内部的规则来实现并行计算。理论分析结果证实了二值图像密码系统的高效性。