基于人工智能的通信网络安全防护技术  

Communication Network Security Protection Technology Based on Artificial Intelligence

作　　者：龙志友 LONG Zhiyou(Guizhou Postal and Telecommunications Planning and Design Institute Co.,Ltd.,Guiyang 550000,China)

机构地区：[1]贵州省邮电规划设计院有限公司,贵州贵阳550000

出　　处：《通信电源技术》2025年第2期173-175,共3页Telecom Power Technology

摘　　要：文章深入分析当前通信网络安全防护的现状与不足,提出一种基于人工智能的通信网络安全防护技术。通过构建多源异构数据采集体系,设计基于卷积神经网络-长短期记忆(Convolutional Neural Networks-Long ShortTerm Memory,CNN-LSTM)网络融合的深度学习检测模型,实现智能化的防护决策部署。实验结果表明,与传统防护技术相比,该技术在检测率、误报率、响应时延等关键指标上均显著提升。The article deeply analyzes the current status and shortcomings of communication network security protection,and proposes an artificial intelligence based communication network security protection technology.By constructing a multi-source heterogeneous data acquisition system,a deep learning detection model based on Convolutional Neural Networks-Long Short-Term Memory(CNN-LSTM)network fusion is designed to achieve intelligent deployment of protection decisions.The experimental results show that compared with traditional protection techniques,this technology significantly improves key indicators such as detection rate,false alarm rate,and response delay.

关 键 词：人工智能 通信网络安全 智能防护 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]