基于CNN的水电网络入侵检测与响应系统  

Hydropower Network Intrusion Detection and Response System Based on CNN

作　　者：章海军 ZHANG Haijun(Nanjing Nanrui Water Conservancy and Hydropower Technology Co.,Ltd.,Nanjing Jiangsu 211100,China)

机构地区：[1]南京南瑞水利水电科技有限公司,江苏南京211100

出　　处：《信息与电脑》2023年第21期90-92,共3页Information & Computer

摘　　要：文章通过深入探讨水电网络的基本架构和特点,设计一个基于卷积神经网络(Convolutional Neural Network,CNN)的入侵检测系统,并采用KDD Cup 1999数据集验证该系统的性能。实验结果表明,该系统在正常样本上的分类性能较好,可以有效识别入侵行为和异常流量。The article deeply explores the basic architecture and characteristics of hydropower networks,designs an intrusion detection system based on Convolutional Neural Network(CNN),and verifies the performance of the system using the KDD Cup 1999 dataset.The experimental results show that the system has good classification performance on normal samples and can effectively identify intrusion behavior and abnormal traffic.

关 键 词：卷积神经网络(CNN) 入侵检测 响应 水电网络 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]