451 research outputs found
Analyzing Attacks on Cooperative Adaptive Cruise Control (CACC)
Cooperative Adaptive Cruise Control (CACC) is one of the driving applications
of vehicular ad-hoc networks (VANETs) and promises to bring more efficient and
faster transportation through cooperative behavior between vehicles. In CACC,
vehicles exchange information, which is relied on to partially automate
driving; however, this reliance on cooperation requires resilience against
attacks and other forms of misbehavior. In this paper, we propose a rigorous
attacker model and an evaluation framework for this resilience by quantifying
the attack impact, providing the necessary tools to compare controller
resilience and attack effectiveness simultaneously. Although there are
significant differences between the resilience of the three analyzed
controllers, we show that each can be attacked effectively and easily through
either jamming or data injection. Our results suggest a combination of
misbehavior detection and resilient control algorithms with graceful
degradation are necessary ingredients for secure and safe platoons.Comment: 8 pages (author version), 5 Figures, Accepted at 2017 IEEE Vehicular
Networking Conference (VNC
Delay Performance and Cybersecurity of Smart Grid Infrastructure
To address major challenges to conventional electric grids (e.g., generation diversification and optimal deployment of expensive assets), full visibility and pervasive control over utilities\u27 assets and services are being realized through the integratio
Stabilization of DC Microgrids Under Stealth Cyber Attacks - Optimal Design and Sensitivity Analysis
Switched Stackelberg game analysis of false data injection attacks on networked control systems
summary:This paper is concerned with a security problem for a discrete-time linear networked control system of switched dynamics. The control sequence generated by a remotely located controller is transmitted over a vulnerable communication network, where the control input may be corrupted by false data injection attacks launched by a malicious adversary. Two partially conflicted cost functions are constructed as the quantitative guidelines for both the controller and the attacker, after which a switched Stackelberg game framework is proposed to analyze the interdependent decision-making processes. A receding-horizon switched Stackelberg strategy for the controller is derived subsequently, which, together with the corresponding best response of the attacker, constitutes the switched Stackelberg equilibrium. Furthermore, the asymptotic stability of the closed-loop system under the switched Stackelberg equilibrium is guaranteed if the switching signal exhibits a certain average dwell time. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method in this paper
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