CBTC Systems Resilience Evaluation Based on Resource State Model under DoS Attacks

Abstract

Communication-based train control (CBTC) systems are threatened by information attacks, which may seriously disturb the operation of trains. In this paper, we propose a method to quantitatively study the resilience of CBTC systems under information attacks. Based on the key features of CBTC systems, a resource state model is proposed to analyze the impact of information attacks on resources. It studies the relation between resources and the operation states of trains, to measure the performance of CBTC systems under different operation states of trains. And it quantifies the resilience of CBTC systems under information attacks. The model uses redundant resources to reflect the resistance of resilience to highlight the fault-tolerance of the system. And the model considers the characteristics of system fail-safe for the first time. Finally, Monte Carlo method is used to simulate a CBTC system under different information attacks scenarios. Simulation results show that our method can effectively evaluate the effect of information attacks on the resilience and find the key weak points of a CBTC system.