Liu, Lin (Beihang University), Wu, Hanyuan (Beihang University), Xi, Zhiyu (Beihang University), Cui, Yucheng (School of Automation Science and Electrical Engineering Beihang )

FDI attack detection for formation control of quantized UAV systems by coding sensor outputs

Scheduled for presentation during the Regular Session "UAS Applications IV" (FrA3), Friday, September 4, 2020, 09:20−09:40, Edessa

2020 International Conference on Unmanned Aircraft Systems (ICUAS), September 1-4, 2020 (Postponed from June 9-12, 2020), Athens, Greece

This information is tentative and subject to change. Compiled on April 19, 2024

Abstract

False Data Injection(FDI) attack has been well studied in recent years. Due to its stealthiness and the possible severe damage to the attacked system, defense strategies against FDI attack are one of the most important research directions. Coding matrix method has been proposed several years ago which introduces a coding matrix to sensor outputs so that stealthy attack can be detected. However, its application to quantized systems has never been studied. In this paper, we consider the FDI detection strategy and its application to the formation control problem of quantized unmanned aerial vehicles(UAV) systems, where sensor outputs are transmitted via communication channels equipped with quantizers. The quantization process in the system has enforced different requirements to the design of coding matrix, and we have proposed sufficient conditions of effective coding matrix design under this condition. Simulation results have also proved the feasibility of our method in the detection of FDI attack.