Efficient Privacy-Preserving Verification of UAV Telemetry Enabling a Resilient Decentralized Advanced Air Mobility System

As the number of unmanned aerial vehicle (UAV) operations is growing rapidly, the risk of collisions increases significantly, making the coordination and verification of flight path compliance crucial. Since many different stakeholders, such as different UAV service suppliers (USS) and UAV operators are involved in an advanced air mobility (AAM) system, the system shall be decentralized and telemetry data shall be measured by the local community using sensor devices. In order to increase system resilience, sub-components of the system are implemented on a blockchain. Smart contracts are used to check whether a UAV has actually navigated the route specified by the USS pre-flight. Due to the restrictions of the system, the flight plan cannot be publicly revealed. Zero-Knowledge proofs (ZKPs) are unfeasible for this use case due to the high number of transactions and computational effort. Therefore, a novel approach has been developed that crosschecks measured telemetry data of UAV flights with flight plans and verifies the correctness without revealing any sensitive flight information. The verification results of UAV telemetry data can further be used to reward UAV operators for complying with the planned flight path.

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Published
2025-05-09
DOI
https://doi.org/10.1109/bigdatasecurity66063.2025.00012
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

Efficient Privacy-Preserving Verification of UAV Telemetry Enabling a Resilient Decentralized Advanced Air Mobility System

Alfred Taudes, Alexander Neulinger, Artur Gonçalves, Helmut Prendinger et al.
Vehicular Ad Hoc Networks (VANETs)
article

Efficient Privacy-Preserving Verification of UAV Telemetry Enabling a Resilient Decentralized Advanced Air Mobility System

Alfred Taudes, Alexander Neulinger, Artur Gonçalves, Helmut Prendinger, María Eugenia Sánchez Leal, Lukas Sparer, Rigault Bastien
article en

Abstract

As the number of unmanned aerial vehicle (UAV) operations is growing rapidly, the risk of collisions increases significantly, making the coordination and verification of flight path compliance crucial. Since many different stakeholders, such as different UAV service suppliers (USS) and UAV operators are involved in an advanced air mobility (AAM) system, the system shall be decentralized and telemetry data shall be measured by the local community using sensor devices. In order to increase system resilience, sub-components of the system are implemented on a blockchain. Smart contracts are used to check whether a UAV has actually navigated the route specified by the USS pre-flight. Due to the restrictions of the system, the flight plan cannot be publicly revealed. Zero-Knowledge proofs (ZKPs) are unfeasible for this use case due to the high number of transactions and computational effort. Therefore, a novel approach has been developed that crosschecks measured telemetry data of UAV flights with flight plans and verifies the correctness without revealing any sensitive flight information. The verification results of UAV telemetry data can further be used to reward UAV operators for complying with the planned flight path.

Vienna University of Economics and Business (AT), Pontificia Universidad Católica de Chile (CL), National Institute of Informatics (JP)
National Institute of Informatics
Affordable and clean energy
Openalex Percentile: Top 91%
Vehicular Ad Hoc Networks (VANETs)
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