基于云边联合防御的恶意代码传播模型

将云安全与点对群信息共享网络的特点进行融合，提出了一种基于云边结合(云安全环境和点对群信息共享网络相结合)的新型恶意代码传播模型，形成针对恶意代码的云边联合防御。首先，在经典的易感—感染—免疫传播模型的基础上引入云安全节点，并且增加节点在云安全环境中的额外免疫途径。其次，对新型模型进行动力学分析，计算出模型的平衡点和传播阈值，证明平衡点的局部稳定性和全局稳定性。最后，数值模拟与仿真实验的结果表明，基于云边联合防御的恶意代码传播模型能够在网络中更好地遏制恶意代码的传播，且随着节点检测与反馈能力的提升，遏制效果会更好。

Malware propagation model based on cloud-edge joint defense

This paper fused the characteristics of cloud security and the point-to-group networks, proposed a new malware propagation model based on cloud-edge combination, namely, cloud security environment and point-to-group information sharing networks, and formed the cloud-edge combination defense against malicious code. Firstly, this paper introduced cloud security node based on the classical susceptibility-infection-immune propagation model, and added additional immune pathways of nodes in cloud security environment. Secondly, this paper analyzed the dynamics of the new model, and calculated the equilibrium point and propagation threshold of the model, and proved the local stability and global stability of the equilibrium point. Finally, the results of numerical simulation and simulation experiments show that, the malware propagation model based on cloud-edge joint defense can better curb the spread of malware in the network, and with the improvement of node detection and feedback ability, the containment effect of malware will be better.