Software-Defined Networking (SDN) makes it easier to manage the network by separating the Data plane and Control plane, but these networks are susceptible to DDoS attacks. Most well-known algorithms for reducing the effects of DDoS attacks are based on SDN traffic analysis and prediction. Their main problems are false positive/negative results. Therefore, we propose PATGEN, a Protocol to reduce the effects of DDoS ATtacks using an advanced GENetic algorithm with optimized and new operators, thereby significantly reducing the effects of attacks and increasing the efficiency of the multi-controller SDN. Using the robust initial population procedure increases the convergence speed of the algorithm. Unlike other methods, PATGEN is possible without using external resources. Experimental results show that PATGEN increases the throughput and reduces the average delay compared to states of the art methods.

软件定义网络 (SDN) 通过分离数据平面和控制平面使网络管理更容易，但这些网络容易受到 DDoS 攻击。大多数著名的减少 DDoS 攻击影响的算法都是基于 SDN 流量分析和预测。他们的主要问题是假阳性/阴性结果。因此，我们提出了 PATGEN，一种使用具有优化和新算子的高级遗传算法来减少 DDoS 攻击影响的协议，从而显着减少攻击的影响并提高多控制器 SDN 的效率。使用稳健的初始填充程序提高了算法的收敛速度。与其他方法不同，PATGEN 无需使用外部资源即可实现。