基于神经网络算法的无线网络安全模型设计

Design of wireless network security model based on neural network algorithm

为实现对无线网络的有效保护,文章运用BP神经网络和GA遗传算法,完成对无线网络安全模型设计。首先,将BP神经网络与GA遗传算法进行有效的融合,提出一种GABP神经网络算法。其次,针对无线网络安全问题,运用该算法,从无线网络拓扑结构设计、无线网络入侵检测单位模型构建入手,完成对无线网络安全模型的设计。最后,对该模型进行仿真分析。结果表明:将BP神经网络与GA遗传算法应用到无线网络攻击类型中从而提高识别率,降低了误报率,确保了无线网络的安全性和可靠性。笔者希望该研究可以为相关人员提供有效的借鉴和参考。

In order to protect wireless network effectively,this paper designs the security model of wireless network by using BP neural network and GA genetic algorithm.Firstly,a GABP neural network algorithm is proposed based on the effective fusion of BP neural network and GA.Secondly,aiming at the wireless network security problem,this research uses this algorithm to design the wireless network security model from the wireless network topology design and wireless network intrusion detection unit model.Finally,this research carries on the simulation analysis to this model.The results show that the BP neural network and GA genetic algorithm are applied to wireless network attack types to improve the recognition rate,reduce the false alarm rate and ensure the security and reliability of wireless network.I hope this study can provide effective reference for the relevant personnel.