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Article

A Novel Intrusion Detection Model Using a Fusion of Network and Device States for Communication-Based Train Control Systems

State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
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Electronics 2020, 9(1), 181; https://doi.org/10.3390/electronics9010181
Received: 17 December 2019 / Revised: 6 January 2020 / Accepted: 16 January 2020 / Published: 18 January 2020
(This article belongs to the Special Issue Security and Privacy in Cyber Physical Systems)
Security is crucial in cyber-physical systems (CPS). As a typical CPS, the communication-based train control (CBTC) system is facing increasingly serious cyber-attacks. Intrusion detection systems (IDSs) are vital to protect the system against cyber-attacks. The traditional IDS cannot distinguish between cyber-attacks and system faults. Furthermore, the design of the traditional IDS does not take the principles of CBTC systems into consideration. When deployed, it cannot effectively detect cyber-attacks against CBTC systems. In this paper, we propose a novel intrusion detection method that considers both the status of the networks and those of the equipment to identify if the abnormality is caused by cyber-attacks or by system faults. The proposed method is verified on a hardware-in-the-loop simulation platform of CBTC systems. Simulation results indicate that the proposed method has achieved 97.64% true positive rate, which can significantly improve the security protection level of CBTC systems. View Full-Text
Keywords: CPS; CBTC; cybersecurity; IDS CPS; CBTC; cybersecurity; IDS
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MDPI and ACS Style

Song, Y.; Bu, B.; Zhu, L. A Novel Intrusion Detection Model Using a Fusion of Network and Device States for Communication-Based Train Control Systems. Electronics 2020, 9, 181. https://doi.org/10.3390/electronics9010181

AMA Style

Song Y, Bu B, Zhu L. A Novel Intrusion Detection Model Using a Fusion of Network and Device States for Communication-Based Train Control Systems. Electronics. 2020; 9(1):181. https://doi.org/10.3390/electronics9010181

Chicago/Turabian Style

Song, Yajie, Bing Bu, and Li Zhu. 2020. "A Novel Intrusion Detection Model Using a Fusion of Network and Device States for Communication-Based Train Control Systems" Electronics 9, no. 1: 181. https://doi.org/10.3390/electronics9010181

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