Towards Intelligent Security for Unmanned Aerial Vehicles: A Taxonomy of Attacks, Faults, and Detection Mechanisms

December 29, 2021 • Conference Paper

By

Lijing Zhai (Georgia Institute of Technology), Aris Kanellopoulos (Georgia Institute of Technology), Filippos Fotiadis (Georgia Institute of Technology), Kyriakos G. Vamvoudakis (Georgia Institute of Technology), and Jerome Hugues

In this extended paper, the authors provide two mappings using a fault taxonomy as a pivot.

Publisher

American Institute of Aeronautics and Astronautics

Topic or Tag

Abstract

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.

Software Engineering Institute