Reference : Real-time attack detection on robot cameras: A self-driving car application
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/38960
Real-time attack detection on robot cameras: A self-driving car application
English
Lagraa, Sofiane mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Cailac, Maxime []
Rivera, Sean [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Beck, Frédéric []
State, Radu [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Feb-2019
International Conference on Robotic Computing
Yes
International
IRC 2019 - International Conference on Robotic Computing
from 25-02-2019 to 27-02-2019
[en] ROS ; attack detection ; self-driving ; adversarial models
[en] The Robot Operating System (ROS) are being deployed for multiple life critical activities such as self-driving cars, drones, and industries. However, the security has been persistently neglected, especially the image flows incoming from camera robots. In this paper, we perform a structured security assessment of robot cameras using ROS. We points out a relevant number of security flaws that can be used to take over the flows incoming from the robot cameras. Furthermore, we propose an intrusion detection system to detect abnormal flows. Our defense approach is based on images comparisons and unsupervised
anomaly detection method. We experiment our approach on robot cameras embedded on a self-driving car.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/38960

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