Visible to the public Biblio

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2022-04-20
Zhang, Kailong, Li, Jiwei, Lu, Zhou, Luo, Mei, Wu, Xiao.  2013.  A Scene-Driven Modeling Reconfigurable Hardware-in-Loop Simulation Environment for the Verification of an Autonomous CPS. 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics. 1:446–451.
Cyber-Physical System(CPS) is now a new evolutional morphology of embedded systems. With features of merging computation and physical processes together, the traditional verification and simulation methods have being challenged recently. After analyzed the state-of-art of related research, a new simulation environment is studied according to the characters of a special autonomous cyber-physical system-Unmanned Aerial Vehicle, and designed to be scene-driven, modeling and reconfigurable. In this environment, a novel CPS-in-loop architecture, which can support simulations under different customized scenes, is studied firstly to ensure its opening and flexibility. And as another foundation, some dynamics models of CPS and atmospheric ones of relative sensors are introduced to simulate the motion of CPS and the change of its posture. On the basis above, the reconfigurable scene-driven mechanisms that are Based on hybrid events are mainly excogitated. Then, different scenes can be configured in terms of special verification requirements, and then each scene will be decomposed into a spatio-temporal event sequence and scheduled by a scene executor. With this environment, not only the posture of CPS, but also the autonomy of its behavior can be verified and observed. It will be meaningful for the design of such autonomous CPS.
2020-01-21
Oruganti, Pradeep Sharma, Appel, Matt, Ahmed, Qadeer.  2019.  Hardware-in-Loop Based Automotive Embedded Systems Cybersecurity Evaluation Testbed. Proceedings of the ACM Workshop on Automotive Cybersecurity. :41–44.
This paper explains the work-in-progress on a vehicle safety and security evaluation platform. Since the testing of cyber-attacks on an actual may be costly or dangerous, the platform enables us to evaluate the threat and the risk associated with cyber-attacks in a safe virtual environment. The goal is to integrate vehicle and powertrain models, mobility and network simulators to actual hardware running the control algorithms using CAN communication. Hardware is selected so as to allows expandability and application of wireless modules which will act as additional attack surfaces. In the current paper, the framework and ideology behind is testbed is described and current progress is shown. A simple GPS spoofing attack on a virtual test vehicle is done and some initial results are discussed.