High-speed railway perimeter intrusion detection approach based on Internet of Things

被引：12
|
作者：
Xie, Zhengyu [1 ,2 ]
Qin, Yong [1 ]
机构：
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Sch Traff & Transportat, 3 Shangyuancun, Beijing 100044, Peoples R China
来源：
ADVANCES IN MECHANICAL ENGINEERING | 2019年 / 11卷 / 02期
基金：
国家重点研发计划;
关键词：
High-speed railway; perimeter; intrusion detection; sensor networks; Internet of Things; DETECTION SYSTEM; DATA FUSION;
D O I：
10.1177/1687814018821511
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Efficient perimeter intrusion detection approach is vital to safety management of China high-speed railway. In this article, for high-speed railway perimeter intrusion detection problem, a perimeter intrusion detection framework based on Internet of Things is designed to integrate different detection sensors. A data fusion algorithm was proposed to fuse multisensor data for improving detection precision. Computational results of normal condition and severe weather environment show our approach is effective and efficient for high-speed railway perimeter intrusion detection under Internet of Things, and is significant for safety management of China high-speed railway.
引用
收藏
页数：9
相关论文
共 50 条
  • [31] Intrusion detection for high-speed railways based on unsupervised anomaly detection models
    Yao Wang
    Zujun Yu
    Liqiang Zhu
    Applied Intelligence, 2023, 53 : 8453 - 8466
  • [32] A two stage lightweight approach for intrusion detection in Internet of Things
    Li, Zeyu
    Yao, Wenbin
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 257
  • [33] Intrusion detection for high-speed railways based on unsupervised anomaly detection models
    Wang, Yao
    Yu, Zujun
    Zhu, Liqiang
    APPLIED INTELLIGENCE, 2023, 53 (07) : 8453 - 8466
  • [34] Intrusion Detection for Internet of Things: An Anchor Graph Clustering Approach
    Wu, Yixuan
    Zhang, Long
    Yang, Lin
    Yang, Feng
    Ma, Linru
    Lu, Zhoumin
    Jiang, Wen
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 20 : 1965 - 1980
  • [35] Study on high-speed network intrusion detection based on network processor
    Computer Network Key Lab., South China University of Technology, Guangzhou 510640, China
    不详
    Zhongshan Daxue Xuebao, 2006, SUPPL. (31-34):
  • [36] Research on High-speed Network-based Intrusion Detection System
    Liu Ting
    Meng Qingwei
    2012 7TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE), 2012, : 363 - 365
  • [37] Ambient intelligence approach: Internet of Things based decision performance analysis for intrusion detection
    Ramana, T. V.
    Thirunavukkarasan, M.
    Mohammed, Amin Salih
    Devarajan, Ganesh Gopal
    Murugan, Senthil
    COMPUTER COMMUNICATIONS, 2022, 195 : 315 - 322
  • [38] Deep learning-based intrusion detection approach for securing industrial Internet of Things
    Soliman, Sahar
    Oudah, Wed
    Aljuhani, Ahamed
    ALEXANDRIA ENGINEERING JOURNAL, 2023, 81 : 371 - 383
  • [39] Intrusion Detection Systems in Internet of Things
    Santos, Leonel
    Rabadao, Carlos
    Goncalves, Ramiro
    2018 13TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2018,
  • [40] A survey of intrusion detection in Internet of Things
    Zarpelao, Bruno Bogaz
    Miani, Rodrigo Sanches
    Kawakani, Claudio Toshio
    de Alvarenga, Sean Carlisto
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 84 : 25 - 37
12345