摘要
针对铁路行业网络空间测绘存在的拓扑结构复杂及跨网段探测困难等问题,提出了一种基于分布式Agent的网络空间资源测绘管理系统。通过资产识别、终端信息采集及自动化网络拓扑构建,解决了跨网段测绘的技术难题。通过多线程资产探测、定制化指纹识别及基于Dijkstra算法的拓扑优化模型,显著提升了扫描效率和资产覆盖率,为铁路行业的网络安全提供了可靠的技术支撑。
This paper proposed a distributed Agent based network space resource mapping management system to address the complex topology and difficulties in cross network segment detection in the railway industry's network space surveying and mapping.The paper addressed the technical challenges of cross network segment mapping through asset identification,terminal information collection,and automated network topology construction,and significantly improved scanning efficiency and asset coverage through multi-threaded asset detection,customized fingerprint recognition,and a topology optimization model based on Dijkstra's algorithm,provided reliable technical support for network security in the railway industry.
作者
孙连珏
杨牧臻
曹祎杰
蒋肖锋
孙惟
SUN Lianjue;YANG Muzhen;CAO Yijie;JIANG Xiaofeng;SUN Wei(Network Reconnaissance Center,The Third Research Institute of Ministry of Public Security,Shanghai 201204,China;Information Security Division,The Third Research Institute of Ministry of Public Security,Shanghai201204,China;School of Cyberspace Science and Technology,Beijing Jiaotong University,Beijing 100044,China;Institute of Computing Technologies,China Academy of Railway Sciences Corporation Limited,Beijing100081,China;Department of Science,Technology and Information,China Railway Shanghai Group Co.Ltd.,Shanghai 200071,China;Department of Science,Technology and Information,China Railway Harbin Group Co.Ltd.,Harbin 150001,China)
出处
《铁路计算机应用》
2025年第9期74-78,共5页
Railway Computer Application
