Testbed for Cybersecurity Assessment of UAS Traffic Control

A testbed is architected for cybersecurity assessment of centralized uncrewed aircraft system (UAS) traffic control systems, as envisioned for future for high-density beyond-visual-line-of-sight (BVLOS) UAS operations. The testbed replicates canonical high-density UAS control concepts-of-operation (ConOps), such as sequencing and guidance of traffic near a vertiport, using small quadrotors in an indoor drone cage. Line-of-sight and manual BVLOS guidance of each UAS by an operator is emulated. Crucially, a centralized traffic control system is envisioned and replicated, which is made up of: 1) a control server which can communicate with UAS microcontrollers and operators’ displays, 2) ground-based sensors, and 3) a display and user interface for a human traffic controller. Distributed software is architected for the traffic control system, for implementation in Rust and Python. The testbed allows for modular integration of cybersecurity capabilities, including heterogeneous attack detection functions, and integrated cyber defenses such as adaptive network microsegmentation and authentication/authorization. Myriad network and system attacks can be emulated and evaluated using the testbed. The testbed aims to support cybersecurity assessment and design for future aviation systems, in a way that is aviation context aware.

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Publication Details

Published
2025-07-16
DOI
https://doi.org/10.2514/6.2025-3311
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Testbed for Cybersecurity Assessment of UAS Traffic Control

Olga León, Sébastien Roy, Oluwafemi Ajeigbe, Jaewon Kim et al.
Network Security and Intrusion Detection
article

Testbed for Cybersecurity Assessment of UAS Traffic Control

Olga León, Sébastien Roy, Oluwafemi Ajeigbe, Jaewon Kim, Chenyan Zhu, Vishwam Raval, Kevin Lei
article en

Abstract

A testbed is architected for cybersecurity assessment of centralized uncrewed aircraft system (UAS) traffic control systems, as envisioned for future for high-density beyond-visual-line-of-sight (BVLOS) UAS operations. The testbed replicates canonical high-density UAS control concepts-of-operation (ConOps), such as sequencing and guidance of traffic near a vertiport, using small quadrotors in an indoor drone cage. Line-of-sight and manual BVLOS guidance of each UAS by an operator is emulated. Crucially, a centralized traffic control system is envisioned and replicated, which is made up of: 1) a control server which can communicate with UAS microcontrollers and operators’ displays, 2) ground-based sensors, and 3) a display and user interface for a human traffic controller. Distributed software is architected for the traffic control system, for implementation in Rust and Python. The testbed allows for modular integration of cybersecurity capabilities, including heterogeneous attack detection functions, and integrated cyber defenses such as adaptive network microsegmentation and authentication/authorization. Myriad network and system attacks can be emulated and evaluated using the testbed. The testbed aims to support cybersecurity assessment and design for future aviation systems, in a way that is aviation context aware.

Mitchell Institute (US), Texas A&M University (US)
Openalex Percentile: Top 81%
Network Security and Intrusion Detection
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