基于OpenFlow的自适应防火墙调控算法仿真

Simulation of Adaptive Firewall Control Algorithm Based on OpenFlow

网络运行时地址转换、信息传输等操作均存在一定风险,相对隔绝的保护屏障是网络安全、稳定的关键。防火墙可以扫描网络通信,过滤掉隐藏风险以及入侵攻击,但是由于其任务类型的多样性,其调控难度较大。为此提出基于OpenFlow的自适应防火墙调控算法。利用OpenFlow协议完成数据的分析以及转换等预处理,得到有序的风险数据和正常数据,并对风险数据评估,进而确定风险数据是否为异常数据。基于此,调控异常网络资源数据,强化网络的各项传输资源,以此优化防火墙,实现自适应防火墙调控。实验结果表明,所提的自适应防火墙调控算法的适应度和成功率均更高,且网络传输延时较短。

When the network is running,some risks exist in address conversion,information transmission and other operations.Firewalls can scan network communication,and then filter out hidden risks and intrusion attacks,but due to the diversity of task types,their regulation is difficult.Therefore,an adaptive regulation algorithm for firewalls based on OpenFlow was proposed.Firstly,we used the OpenFlow protocol to complete data analysis,conversion and other preprocessing,thus geting orderly risk data and normal data.Meanwhile,we evaluated the risk data,and then deter-mined whether the risk data was abnormal data.On this basis,we regulated abnormal network resource data and strengthened various transmission resources of the network to optimize the firewall and realize the adaptive firewall regulation.Experimental results show that the proposed algorithm has higher adaptability and success rate.And the network transmission delay is shorter.