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Related Experiment Video

Updated: Jul 16, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

A Lightweight Zero-Trust-Based Authentication Framework for UAV Systems.

Xiang Qu1, Wei Ou1,2,3, Mengxue Pang1

  • 1School of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, China.

Sensors (Basel, Switzerland)
|July 15, 2026
PubMed
Summary

This study introduces a zero-trust framework for secure unmanned aerial vehicle (UAV) operations, using acoustic verification and a trust model to prevent identity cloning and authorization delays.

Keywords:
SM9UAVdynamic trust evaluationrotor acoustic fingerprintzero trust

Related Experiment Videos

Last Updated: Jul 16, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

Area of Science:

  • Cybersecurity
  • Aerospace Engineering
  • Artificial Intelligence

Background:

  • Unmanned aerial vehicles (UAVs) face security risks like identity cloning and credential leakage in open airspace.
  • Existing authentication methods struggle with dynamic authorization and resource constraints in UAV systems.

Purpose of the Study:

  • To develop a robust zero-trust framework for UAVs addressing identity cloning, credential leakage, and authorization delays.
  • To enhance UAV security and operational efficiency in open airspace environments.

Main Methods:

  • Implemented SM9 identity-based mutual authentication for a traceable digital identity anchor.
  • Integrated on-demand rotor acoustic verification for real-time platform identity matching.
  • Utilized a Beta-distribution trust model for dynamic authorization decisions based on multiple evidence types.

Main Results:

  • The acoustic module successfully blocked 104 out of 110 spoofing samples.
  • Attacker trust values decreased significantly under identity-cloning attacks, falling below the isolation threshold.
  • On-demand acoustic authentication reduced activation frequency, latency, and energy consumption by over 83% compared to continuous methods.

Conclusions:

  • The proposed framework effectively links identity confirmation, entity verification, and continuous authorization for resource-constrained UAVs.
  • The system demonstrates enhanced security against spoofing and identity-cloning attacks.
  • Optimized authentication strategies improve UAV operational efficiency and reduce energy demands.