CNN入侵检测算法在电力营销系统中的应用

Application of CNN intrusion detection algorithm in power marketing system

为应对移动互联网下电力营销末端网络侧流量增大后的网络安全问题,提出一种攻防式CNN网络入侵检测模型。针对传统入侵检测模型仅有单个分类器造成精度不高的问题,提出基分类器概念,为找到每个基分类器的最佳权重,建立斯塔克尔伯格博弈数学模型,利用遗传算法寻找模型中的最优解。在实验仿真计算中,使用NSL-KDD数据集验证了该模型的有效性。

To deal with the problem of network security after the increase of network traffic at the end of power marketing under the mobile Internet,an attack and defense CNN network intrusion detection model was proposed.To find the best weight of each basic classifier,the Stackelberg game model was established,and the genetic algorithm was used to find the best solution in the model.The validity of the model was verified by NSL-KDD data set.