FINDING SOFTWARE VULNERABILITIES IN UNMANNED AERIAL VEHICLES

This repository contains the source code, tools, and results from a research project investigating software vulnerabilities in the PX4 autopilot system, a widely used platform for Unmanned Aerial Vehicles (UAVs). The study employs bounded model checking using the ESBMC tool and fuzzing techniques to assess the security and reliability of critical system components, including failsafe mechanisms and communication protocols.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-13
DOI
https://doi.org/10.5281/zenodo.13759513
Primary Topic
Formal Methods in Verification
Type
article
Field-Weighted Citation Impact
0.00
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article

FINDING SOFTWARE VULNERABILITIES IN UNMANNED AERIAL VEHICLES

Zenodo (CERN European Organization for Nuclear Research)
Formal Methods in Verification
article

FINDING SOFTWARE VULNERABILITIES IN UNMANNED AERIAL VEHICLES

article en

Abstract

This repository contains the source code, tools, and results from a research project investigating software vulnerabilities in the PX4 autopilot system, a widely used platform for Unmanned Aerial Vehicles (UAVs). The study employs bounded model checking using the ESBMC tool and fuzzing techniques to assess the security and reliability of critical system components, including failsafe mechanisms and communication protocols.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 64%
Formal Methods in Verification
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FINDING SOFTWARE VULNERABILITIES IN UNMANNED AERIAL VEHICLES · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS