Communication-based train control (CBTC) is considered as the main organ of urban rail transit systems, which is facing increasingly serious security threats. Intrusion detection systems (IDS) are crucial for security protection. This paper reports the design principles and evaluation results of a novel hybrid intrusion detection system which is suitable for CBTC systems. This hybrid method combines the advantages of the high true positive rate of network-based IDS (NIDS) and the ability of host-based IDS (HIDS) to monitor system behavior, where decision tree and critical state analysis are used, respectively. The proposed method is verified on a semi-physical simulation platform of CBTC and the experiments show that the designed scheme can detect intrusions accurately with a 97.8% detection rate.
Hybrid Intrusion Detection with Decision Tree and Critical State Analysis for CBTC
Lect. Notes Electrical Eng.
International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019
Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 ; Kapitel : 16 ; 153-161
2020-04-02
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Hybrid Intrusion Detection with Decision Tree and Critical State Analysis for CBTC
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