A Security Defense Method Against Eavesdroppers in the Communication-Based Train Control System

YANG Li; WEI Xiukun; WEN Chenglin

doi:10.23919/cje.2022.00.248

Volume 32 Issue 5

Sep. 2023

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Article Navigation > Chinese Journal of Electronics > 2023 > 32(5): 992-1001

YANG Li, WEI Xiukun, WEN Chenglin, “A Security Defense Method Against Eavesdroppers in the Communication-Based Train Control System,” Chinese Journal of Electronics, vol. 32, no. 5, pp. 992-1001, 2023, doi: 10.23919/cje.2022.00.248

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YANG Li, WEI Xiukun, WEN Chenglin, “A Security Defense Method Against Eavesdroppers in the Communication-Based Train Control System,” Chinese Journal of Electronics, vol. 32, no. 5, pp. 992-1001, 2023, doi: 10.23919/cje.2022.00.248

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A Security Defense Method Against Eavesdroppers in the Communication-Based Train Control System

doi: 10.23919/cje.2022.00.248

YANG Li^1
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WEI Xiukun^2
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WEN Chenglin^{1, 3
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1.
School of Cyberspace College, Hangzhou Dianzi University, Hangzhou 310018, China
2.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
3.
School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China

Funds: This work was supported by the National Natural Science Foundation of China (62120106011, 61933013, 61733015, U1934221) and the State Key Laboratory of Rail Traffic Control and Safety Contract, Beijing Jiaotong University (RCS2021K007).

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Author Bio:
Li YANG was born in 1992. He received the M.E. degree in electronics and communication engineering from the Guangxi Normal University in 2018. He is currently working toward the Ph.D. degree in Cyberspace College of Hangzhou Dianzi University, Hangzhou, China. His main research interests include cyber-physical system security defense and privacy protection, cyber-physical system attack methods. (Email: yl_hhgz@163.com)

Xiukun WEI received the Ph.D. degree from Johannes Kepler University, Linz, Austria, in 2002. From 2006 to 2009, he was a Postdoctoral Researcher with the Delft Center for System and Control, Delft University of Technology, Delft, The Netherlands. From 2002 to 2006, he was a Research Assistant with the Institute of Design and Control of Mechatronical Systems, Johannes Kepler University. He is currently a Professor with the State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, China. His research interests include fault diagnosis and its applications, intelligent transportation systems, and condition monitoring and its applications in a variety of fields, such as rail traffic control, safety, and transportation. (Email: xkwei@bjtu.edu.cn)

Chenglin WEN (corresponding author) was born in 1963. He graduated from Henan University in 1986, graduated from Zhengzhou University with a master degree in 1993 and received a Ph.D. degree from Northwestern Polytechnical University in 1999. He went out of the postdoctoral mobile station of control science and engineering of Tsinghua University in 2002. He is a Professor of Hangzhou Dianzi University and Guangdong University of Petrochemical Technology. His research interests include information fusion and target detection, fault diagnosis and active security control, deep learning and optimization decision-making systems, cyberspace security and attack detection and positioning. (Email: wencl@hdu.edu.cn)
Received Date: 2022-07-30
Accepted Date: 2022-09-26

Available Online: 2023-01-18

Publish Date: 2023-09-05

Abstract

Abstract

The communication-based train control system is the safety guarantee for automatic train driving. Wireless communication brings network security risks to the communication-based train control system. The eavesdropping of the transmitted information by unauthorized third-party personnel will lead to the leakage of the estimated value of the system state, which will lead to major accidents. This paper focuses on solving the problem of defense against eavesdropping threats and proposes an eavesdropping defense architecture. This defense architecture includes a coding mechanism based on punishing eavesdroppers, an information upload trigger mechanism based on contribution, and a random information transmission strategy, and provides a guarantee for the privacy protection of information. This research makes three contributions. First, it is the first attempt to construct an information encoding mechanism with punishing eavesdroppers as the objective function; Second, for the first time, an information upload trigger mechanism based on contribution is proposed; Third, the strategy of random transmission of information is proposed. The proposed method in this paper is verified by taking the medium and low-speed maglev train as the object. The experimental results show that, compared with Gaussian noise and non-Gaussian noise mechanisms, the coding mechanism proposed in this paper can not only protect the security of information but also make the estimation error of eavesdroppers tend to be infinite. Using the state estimation error as a metric, the average growth rate of the state estimation error of the system using the trigger mechanism in this paper is less than 2% while improving the security of the system. The transmission strategy in this paper does not increase the system state estimation error while improving the security of the system.

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References(27)

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