基于神经网络的通信网络安全态势辨识技术研究  

Research on the Situation Identification Technology of Communication Network Security Based on Neural Network

作　　者：罗杰 郑金龙 刘彬 LUO Jie;ZHENG Jinlong;LIU Bin(People's Armed Police Force Fujian Provincial Headquarters,Fuzhou 350001,China)

机构地区：[1]中国人民武装警察部队福建省总队,福建福州350001

出　　处：《通信电源技术》2025年第7期34-36,共3页Telecom Power Technology

摘　　要：为应对通信网络中隐蔽性、多样性和动态性的安全威胁,提出一种基于神经网络的安全态势辨识技术,通过数据采集与预处理、深度前反馈神经网络模型构建、训练优化及态势评估,分析复杂网络中的威胁模式。实验以NSL-KDD数据集为例,结果表明该技术在各指标上均表现优异,为智能化通信网络安全管理提供有力支持。In order to deal with the hidden,diverse and dynamic security threats in communication networks,a security situation identification technology based on neural network is proposed.The threat patterns in complex networks are analyzed through data acquisition and preprocessing,neural network model construction with depth feedback,training optimization and situation assessment.The experiment takes NSL-KDD data set as an example,and the results show that the technology performs well in all indicators,which provides strong support for the security management of intelligent communication networks.

关 键 词：神经网络 通信网络 安全态势辨识 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]