Towards Intelligent Security for Unmanned Aerial Vehicles: A Taxonomy of Attacks, Faults, and Detection Mechanisms
Lijing Zhai, Aris Kanellopoulos, Filippos Fotiadis, Kyriakos G. Vamvoudakis, Jérôme Hugues · AIAA SCITECH 2022 Forum · 2022
View Video Presentation: https://doi.org/10.2514/6.2022-0969.vid In this extended paper we provide two mappings using a fault taxonomy as a pivot: first, we map attacks or faults scenarios to a class of well-known error types. Then, we categorize detection mechanisms by their ability to detect error types. By combining those two tables, a designer can confidently select a detection mechanism for identified attack or fault scenarios.