摘要
为精准、快速地检测网络中的入侵现象,设计了一种融合SAE与Bi-GRU算法的网络入侵检测方法。根据网络入侵原理,设定网络入侵检测标准。采用Libpcap数据包捕获函数,获取网络实时运行数据。通过堆叠自编码器和双向门控循环单元的融合,提取网络的运行数据,通过特征匹配,得出网络入侵类型、状态等参数的检测结果。效率测试实验结果说明,与传统入侵检测方法相比,优化设计方法的误检率和漏检率明显降低,即优化设计方法具有更高的检测效率。
This paper proposes a network intrusion detection method that integrates the Stacked Autoencoder(SAE)and Bidirectional Gated Recurrent Unit(Bi-GRU)algorithms to achieve accurate and rapid intrusion detection.Based on the principles of network intrusion,specific detection criteria were first defined.Real-time network traffic data is then captured using the Libpcap packet capture function.The fused SAE and Bi-GRU model is employed to extract features from this operational data.Subsequently,feature matching is performed to output detection results,including the intrusion type and status.Experimental results demonstrate that compared to traditional methods,the proposed approach significantly reduces both the false alarm rate and the missed detection rate,indicating a substantial improvement in detection efficiency.
作者
陈刚
CHEN Gang(School of Mechanical and Electrical Information,Anhui Vocational College of Press and Publishing,Hefei 230601,China;School of Computer Science and Information Engineering,Hefei University of Technology,Hefei 230601,China)
出处
《长春师范大学学报》
2025年第10期39-45,共7页
Journal of Changchun Normal University
基金
安徽省教育厅高校自然科学研究重点项目(2024AH050628)。
关键词
堆叠自动编码器
双向门控循环单元
网络入侵
入侵检测
检测效率
stacked autoencoder
bidirectional gate controlled loop unit
network intrusion
intrusion detection
detection efficiency
