Assessing the Cyber Risk of Small Unmanned Aerial Vehicles - Critical Infrastructure Protection XIV - ICCIP 2020 Access content directly
Conference Papers Year : 2020

Assessing the Cyber Risk of Small Unmanned Aerial Vehicles

Abstract

The growing market for commercial-off-the-shelf unmanned aerial vehicles has brought with it innate rewards and vulnerabilities. Aerial technology presents unique cyber risk characteristics that must be managed in new ways. A key stage of the risk management process is risk assessment – the earlier in the lifecycle the assessment is performed, the more the security that can be designed into the operational environment.This chapter presents a quantitative risk assessment framework for unmanned aerial vehicles based on qualitative cyber measures and requirements that captures the dynamics of probability and severity. The assessment uses 14 sub-metrics that cover unmanned aerial vehicle security, temporal aspects and mission environments to express the risk as a single score ranging from 0.0 (best) to 10.0 (worst). A case study involving three popular unmanned aerial vehicle models in three mission-environment scenarios demonstrates the breadth and variability, general applicability and ease of use of the risk assessment framework. Performing risk assessments before unmanned aerial vehicle acquisition will enable organizations and individuals to accurately compare and select the best vehicles for their missions and environments.
Fichier principal
Vignette du fichier
497523_1_En_3_Chapter.pdf (300.29 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03794626 , version 1 (03-10-2022)

Licence

Attribution

Identifiers

Cite

Dillon Pettit, Scott Graham. Assessing the Cyber Risk of Small Unmanned Aerial Vehicles. 14th International Conference on Critical Infrastructure Protection (ICCIP), Mar 2020, Arlington, VA, United States. pp.45-67, ⟨10.1007/978-3-030-62840-6_3⟩. ⟨hal-03794626⟩
10 View
34 Download

Altmetric

Share

Gmail Facebook X LinkedIn More