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Sensor attack detection for railway vehicles using topographic information
- Sensor attack detection for railway vehicles using topographic information
- Yu, Bu Yeon; Eun, Yong Soon
- DGIST Authors
- Eun, Yong Soon
- Issue Date
- 17th International Conference on Control, Automation and Systems, ICCAS 2017, 149-154
- Attacks on control systems have become an important issue due to recently reported actual cases. As a counter measure, attacks on sensors and their detection have been investigated. The approach of existing work is mostly based on exploiting sensor redundancies. In this work, a sensor attack detection method is suggested using topographic information for railway vehicles. The method detects sensor attack not by using redundancies, but by using topographic information of the railways. Specifically, the method detects sensor attack by comparing predicted disturbance predefined by topographic information or normal operating data, and estimated disturbance calculated by disturbance observer. We verified the method through experiment on a scale train testbed. This method is applicable not only to railway vehicles but also to systems such as vehicle-platooning that repeatedly operate on the same section. © 2017 Institute of Control, Robotics and Systems - ICROS.
- IEEE Computer Society
- Related Researcher
DSC Lab(Dynamic Systems and Control Laboratory)
Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
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- Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)2. Conference Papers
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