铁路通信信号工程技术2026，Vol.23Issue(8)：77-82,6.DOI:10.3969/j.issn.1673-4440.2026.08.011
基于AI的安全态势感知在铁路通信网中的应用研究
Research on Application of AI-Based Security Situation Awareness in Railway Communication Networks
吴大勇 1李慧 1傅卫国1
作者信息
- 1. 北京鼎兴达信息科技股份有限公司,北京 100070
- 折叠
摘要
Abstract
This paper proposes a DL-based security situation awareness system for railway communication networks to achieve real-time threat detection based on multi-source heterogeneous data by designing a BiLSTM-CNN hybrid model.This system utilizes a stream processing architecture,which enables a processing latency within 120 ms.Based on the practical application scenarios of railway systems,experimental verification is conducted by simulating the operating environment with simulation data.The results show an overall detection accuracy of 98.7％,a recall rate of 96.2％,and an Fl score of 97.4％.Specifically,this approach offers a detection rate of 99.2％for port scanning attacks,and a detection rate of 97.8％for DDoS attacks,which represents an improvement of 9.39％compared to traditional detection methods.Furthermore,this system effectively reduces the false positive rate by 5.3％,and the false negative rate by 14.8％,while improving the handling efficiency of security incidents by 62％.Thus,it offers strong technical support for the security protection of communication systems for high-speed railways.关键词
铁路通信网/安全态势感知/人工智能Key words
railway communication network/security situation awareness/Artificial Intelligence分类
交通工程引用本文复制引用
吴大勇,李慧,傅卫国..基于AI的安全态势感知在铁路通信网中的应用研究[J].铁路通信信号工程技术,2026,23(8):77-82,6.
