References of "Rivera, Sean 50030384"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailROSploit: Cybersecurity tool for ROS
Rivera, Sean UL; Lagraa, Sofiane UL; State, Radu UL

in International Conference on Robotic Computing (2019, February)

Abstract—Robotic Operating System(ROS) security research is currently in a preliminary state, with limited research in tools or models. Considering the trend of digitization of robotic systems, this lack ... [more ▼]

Abstract—Robotic Operating System(ROS) security research is currently in a preliminary state, with limited research in tools or models. Considering the trend of digitization of robotic systems, this lack of foundational knowledge increases the potential threat posed by security vulnerabilities in ROS. In this article, we present a new tool to assist further security research in ROS, ROSploit. ROSploit is a modular two-pronged offensive tool covering both reconnaissance and exploitation of ROS systems, designed to assist researchers in testing exploits for ROS. [less ▲]

Detailed reference viewed: 67 (1 UL)
Full Text
Peer Reviewed
See detailReal-time attack detection on robot cameras: A self-driving car application
Lagraa, Sofiane UL; Cailac, Maxime; Rivera, Sean UL et al

in International Conference on Robotic Computing (2019, February)

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 ... [more ▼]

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. [less ▲]

Detailed reference viewed: 108 (14 UL)