火力与指挥控制2024，Vol.49Issue(6)：75-82,8.DOI:10.3969/j.issn.1002-0640.2024.06.011
基于对抗性双通道编码器的网络入侵检测算法
A Network Intrusion Detection Algorithm Based on Adversarial Dual Channel Encoder
金诗博 1张立2
作者信息
- 1. 天津中德应用技术大学,天津 300350
- 2. 山东大学,山东 威海 264200
- 折叠
摘要
Abstract
Aiming at the low detection rate of minority attacks caused by the imbalance of network traffic data,an intrusion detection algorithm based on adversarial dual channel encoder is proposed.Normal and attack traffic are used respectively to train the variational autoencoder model to construct a new feature vector based on a multi-channel representation of the autoencoder-derived traffic data.The generative process of generating the adversarial network is driven to develop towards the target class,a small number of class images is generated,the dataset is effectively extended.The feature extraction capability of the model is enhanced by introducing a CBAM module to improve the network structure of the generator,fusing features in both channel and spatial directions.The discriminator output is adjusted to a single target classification and a softmax layer is added to output Fake,Normal and Attack results to avoid the generator generating images that cannot be rewarded for matching the desired type and to improve the quality of the generated images.The experimental results show that the proposed method can effectively reduce the false alarm rate and can improve the detection accuracy of unknown attacks,can have more superiorities especially in unbalanced data sets.关键词
入侵检测算法/辅助生成对抗网络/自编码器/注意力机制Key words
intrusion detection algorithm/auxiliary generation of adversarial network/autoencoder/attention mechanism分类
信息技术与安全科学引用本文复制引用
金诗博,张立..基于对抗性双通道编码器的网络入侵检测算法[J].火力与指挥控制,2024,49(6):75-82,8.
