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Related Experiment Video

Updated: Apr 15, 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

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Hardware Implementation-Based Lightweight Privacy- Preserving Authentication Scheme for Internet of Drones Using

Razan Alsulieman1, Eduardo Hernandez Escobar1, Richard Swilley1

  • 1School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS 39406, USA.

Sensors (Basel, Switzerland)
|April 14, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a hardware-validated, lightweight authentication scheme for the Internet of Drones (IoD) using Physically Unclonable Functions (PUFs). It enhances security and privacy for drone communications while meeting resource constraints.

Keywords:
Internet of Dronesauthenticationhardware accelerationphysical unclonable function

Related Experiment Videos

Last Updated: Apr 15, 2026

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

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Published on: November 26, 2019

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Area of Science:

  • Cybersecurity and Network Engineering
  • Aerospace and Robotics

Background:

  • The Internet of Drones (IoD) is expanding for applications like agriculture and logistics.
  • Securing IoD communications is challenging due to open environments, drone mobility, and resource constraints.
  • Existing authentication methods are often computationally intensive or lack hardware validation for drones.

Purpose of the Study:

  • To develop a lightweight, privacy-preserving authentication scheme for IoD environments.
  • To address the gap in practical, hardware-validated security solutions for resource-constrained drones.
  • To bind cryptographic keys to drone hardware using Physically Unclonable Functions (PUFs).

Main Methods:

  • Proposed a PUF-assisted lightweight authentication scheme binding keys to drone hardware.
  • Utilized dynamic pseudo-identities for privacy and SHA-256, AES-256, and XOR for efficient cryptography.
  • Implemented and evaluated the scheme through software simulations and hardware deployment on an FPGA.

Main Results:

  • Software evaluation showed low communication overhead (708.5 bytes) and computation time (18.87 ms).
  • Hardware implementation on FPGA achieved 100 MHz operation with low resource utilization (12.49% LUT) and power consumption (182.5 mW).
  • The scheme demonstrated a balance between security, privacy, and efficiency.

Conclusions:

  • The PUF-based authentication framework is practical and suitable for real-world IoD constraints.
  • Provides a hardware-validated solution for securing next-generation drone networks.
  • Offers enhanced security and privacy for drone communications.