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Sensor attack detection for railway vehicles using topographic information

Title
Sensor attack detection for railway vehicles using topographic information
Authors
Yu, Bu YeonEun, Yong Soon
DGIST Authors
Eun, Yong Soon
Issue Date
2017-10-18
Citation
17th International Conference on Control, Automation and Systems, ICCAS 2017, 149-154
Type
Conference
ISBN
9788993215137
ISSN
1598-7833
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/6224
DOI
10.23919/ICCAS.2017.8204433
Publisher
IEEE Computer Society
Related Researcher
  • Author Eun, Yongsoon DSC Lab(Dynamic Systems and Control Laboratory)
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
Files:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)2. Conference Papers


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