基于系统调用序列的车载主机设备入侵检测方法研究

王雪; 王立德; 王彪; 许书娴; 王冲

doi:10.13890/j.issn.1000-128X.2023.06.013

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基于系统调用序列的车载主机设备入侵检测方法研究

电力牵引与控制 | 更新时间：2024-08-02

- 基于系统调用序列的车载主机设备入侵检测方法研究
- An intrusion detection method based on system call sequence for train-mounted host devices
- 机车电传动 2023年第6期页码：106-113
- 作者机构：
  
  北京交通大学电气工程学院，北京 100044
- 作者简介：
  
  王　彪（1998—），男，硕士，主要从事列车牵引控制与网络方面的研究；E-mail: 21126182@bjtu.edu.cn
- 基金信息：
  
  中国国家铁路集团有限公司科技研究开发计划重点课题(N2020J007)
- DOI：10.13890/j.issn.1000-128X.2023.06.013
  中图分类号： TP393;U270.38⁺2
- 纸质出版日期：2023-11-10，
  
  收稿日期：2023-06-26，
  
  修回日期：2023-08-01，
- 稿件说明：
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王雪, 王立德, 王彪, 等. 基于系统调用序列的车载主机设备入侵检测方法研究[J]. 机车电传动, 2023(6): 106-113.

WANG Xue, WANG Lide, WANG Biao, et al. An intrusion detection method based on system call sequence for train-mounted host devices[J]. Electric drive for locomotives,2023(6): 106-113.
王雪, 王立德, 王彪, 等. 基于系统调用序列的车载主机设备入侵检测方法研究[J]. 机车电传动, 2023(6): 106-113. DOI： 10.13890/j.issn.1000-128X.2023.06.013.

WANG Xue, WANG Lide, WANG Biao, et al. An intrusion detection method based on system call sequence for train-mounted host devices[J]. Electric drive for locomotives,2023(6): 106-113. DOI： 10.13890/j.issn.1000-128X.2023.06.013.

摘要

列车内部的主机设备搭载Linux嵌入式操作系统，外部应用需要执行系统调用来访问系统内核。随着列车通信网络的兼容性和开放性不断提升，车载主机设备存在遭受网络攻击的风险。当网络攻击发生时，恶意程序同样会通过系统调用与内核产生交互并留下相应痕迹，因此可基于系统调用序列实现车载主机设备的入侵检测。文章分析了Linux系统结构和系统调用序列的原理，设计了包含特征提取、特征词袋处理、特征逆频率处理和特征降维的原始数据特征处理方法，构建了基于网格搜索‒K近邻（Grid Search-K-Nearest Neighbor

GS-KNN）的入侵检测模型。试验证明，文章提出的方法准确率达到了96.62 %，相较于其他轻量级算法存在优势，能够实现网络入侵的有效检测。

Abstract

Linux embedded operating system is installed on the host devices on the train. All the external applications need to access the kernel via system calls. With the increasing compatibility and openness of the train communication network

there is a risk of cyberattacks on the train-mounted host devices. In case of a cyberattack

the malware will interact with the kernel via the system call and leave a trace. Therefore

the train-mounted host device intrusion can be detected based on system call sequence. In this paper

the structure of Linux system and the principle of system call sequence were analyzed

the original data feature processing methods including feature extraction

bag-of-words

inverse-frequency processing and dimension reduction were designed

and an intrusion detection model based on Grid Search-K-Nearest Neighbor (GS-KNN) was created. The experimental results show that the accuracy of the method designed in this paper is 96.62%

and the method has certain advantages compared with other lightweight algorithms and can detect the network intrusion effectively.

关键词

系统调用入侵检测K-近邻算法车载主机设备

Keywords

system callintrusion detectionKNNtrain-mounted host devices

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