基于免疫神经网络的网络攻击仿真模型研究*

通过结合人工神经网络和免疫学的理论，对网络攻击进行模型建立与仿真研究。通过将网络攻击分为三个层次，结合神经网络的三层结构和疫苗的相关概念，建立了基于免疫神经网络的网络攻击仿真模型，在仿真模型的攻击处理层提出了疫苗的克隆攻击选择策略，指出具有相似弱点的网元将会优先被攻击成功，并且给出了基于该模型的网络攻击仿真系统的设计方案，从而可以使用该系统对网络攻击进行仿真研究。

Model of network attacks simulation research based on immune-based neural networks

By combining the theories of the artificial neural networks and immunity,the network attacks were been modeled and simulated.The network attacks were divided into 3 layers.The network attacks' simulated model of the immune-based neural networks was proposed from the concepts of which were joined the three-layer model of the neural networks and vaccine.The tactic of the vaccines' clone attacks selection was proposed from the attacks treatment layer of the immune-based neural networks model,and the phenomenon was pointed out that the network elements which had similar weaknesses would be given priority by the successful attacks.And the design of network attacks' simulation system,which based on the model,was given,so that the simulation research of network attacks could be done by using the system.