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See detailIntrusion detection on robot cameras using spatio-temporal autoencoders: A self-driving car application
Amrouche, Faouzi UL; Lagraa, Sofiane UL; Frank, Raphaël UL et al

in IEEE Vehicular Technology Conference (VTC) (2020)

Robot Operating System (ROS) is becoming more and more important and is used widely by developers and researchers in various domains. One of the most important fields where it is being used is the self ... [more ▼]

Robot Operating System (ROS) is becoming more and more important and is used widely by developers and researchers in various domains. One of the most important fields where it is being used is the self-driving cars industry. However, this framework is far from being totally secure, and the existing security breaches do not have robust solutions. In this paper we focus on the camera vulnerabilities, as it is often the most important source for the environment discovery and the decision-making process. We propose an unsupervised anomaly detection tool for detecting suspicious frames incoming from camera flows. Our solution is based on spatio-temporal autoencoders used to truthfully reconstruct the camera frames and detect abnormal ones by measuring the difference with the input. We test our approach on a real-word dataset, i.e. flows coming from embedded cameras of self-driving cars. Our solution outperforms the existing works on different scenarios. [less ▲]

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See detailGraph-based malicious login events investigation
Amrouche, Faouzi UL; Lagraa, Sofiane UL; Kaiafas, Georgios UL et al

in Amrouche, Faouzi; Lagraa, Sofiane; Kaiafas, Georgios (Eds.) et al 16th IFIP/IEEE Symposium on Integrated Network and Service Management (IM 2019) (2019)

Detailed reference viewed: 108 (16 UL)