基于优化VGG19卷积神经网络的异常检测模型研究

Research on Anomaly Detection Model based on Optimized VGG19 Convolutional Neural Network

互联网服务已经成为人们生活中必不可少的一部分,但由于网络攻击方式的不断增多,使得网络安全问题日益严重.异常检测是对Web攻击进行检测的方式,基于优化VGG19神经网络建立了一种新的异常检测模型,并在ISCX2012数据集上进行训练,取得了较好的检测效果.

Internet service has become an essential part of people's life,but due to the increasing ways of network attacks,network security problems become increasingly serious.Anomaly detection is a very effective way to detect network attacks.In this paper,an anomaly detection model based on optimized VGG19 convolutional neural network is established,and the train and test on ISCX2012 dataset are conducted.The experiment results show that the novel model has a good detection effect for abnormal requests.