重载群组列车自组织网络系统虚假数据注入攻击检测方法

宋宗莹; 杨迎泽; 王兴中; 于晓泉; 李烁

doi:10.3969/j.issn.1005-8451.2025.06.06

重载群组列车自组织网络系统虚假数据注入攻击检测方法

1.
中国神华能源股份有限公司　煤炭运输部，北京　100011
2.
中南大学　电子信息学院，长沙　410075
3.
中南大学　交通运输工程学院，长沙　410075
4.
长沙理工大学　电气与信息工程学院，长沙　410114

基金项目:

湖南省自然科学基金项目（2021JJ30876）；国家能源集团重大科技专项（中国神华能源公司[2022]127号/GJNY-22-7/2300-K1220053）

详细信息

作者简介:
宋宗莹，教授级高级工程师

杨迎泽，副教授

中图分类号: U296 : TP39
计量
- 文章访问数: 25
- HTML全文浏览量: 2
- PDF下载量: 4
出版历程
- 收稿日期: 2024-07-29
- 网络出版日期: 2025-06-25
- 刊出日期: 2025-06-24

Detection method of false data injection attack in self-organizing network system of heavy-haul group trains

1.
Department of Coal Transportation, China Shenhua Energy Company Limited, Beijing　100011, China
2.
School of Electronic Information, Central South University, Changsha　410075, China
3.
School of Traffic & Transportation Engineering, Central South University, Changsha　410075, China
4.
School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha　410114, China

摘要

摘要:
针对重载群组列车自组织网络系统（简称：自组织网络系统）因其高度互联性面临虚假数据注入攻击的问题，设计了一种基于回声状态网络的虚假数据注入攻击检测方法。通过构建自组织网络系统的信息物理模型，设计相应的协同控制策略，确保列车组间的速度同步与安全间距。仿真实验表明，该方法成功检测出不同情境下的虚假数据注入攻击，为重载群组列车自组织网络系统提供了有效的安全保障，为铁路运输系统智能化发展提供支撑。
- 协同控制 /
- 虚假数据注入攻击 /
- 攻击检测 /
- 重载群组列车 /
- 自组织网络系统
Abstract:
This paper proposed a false data injection attack detection method based on echo state network to address the problem of false data injection attacks in the self-organizing network system of heavy-haul group trains (referred to as self-organizing network system) due to its high interconnectivity. It constructed an information physical model of a self-organizing network system and designed corresponding collaborative control strategies to ensure speed synchronization and safe distance between train groups. Simulation experiments show that this method successfully detects false data injection attacks in different scenarios, provides effective security guarantees for the self-organizing network system of heavy-haul group trains and supports the intelligent development of railway transportation systems.
- cooperative control /
- false data injection attack /
- attack detection /
- heavy-haul group trains /
- self-organizing network system

HTML全文

图 2 重载群组列车自组织网络系统协同控制策略

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图 1 重载群组列车自组织网络系统的物理模型及信息模型

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图 3 回声状态网络结构

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图 4 群组内3列列车的相对位置数据

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图 5 检测结果

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参考文献(8)

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