A Location Privacy Preservation Scheme for the Internet of Drones

The use of Unmanned Aerial Vehicles (UAVs), or drones, has become increasingly widespread across a variety of applications, ranging from filmmaking and surveillance to rescue operations, espionage, and military missions. This proliferation has given rise to drone networks, swarms, fleets, and the Internet of Drones (IoD). As these drones are used to carry confidential and sensitive missions, location privacy and security are of essential importance to ensure. Drones are required to broadcast location data and identifiers for navigation and safety, yet they inherit the resource constraints of the Internet of Things (IoT), such as limited battery life and computational capacity, which necessitate lightweight and efficient security solutions. To address these challenges, we propose an identifier-changing scheme designed to prevent tracking and safeguard both identity and location privacy. Our approach relies on inter-drone cooperation, coordinated silence periods, and location obfuscation to achieve unlinkability and anonymity. Techniques inspired by vehicular networks, when adapted to the energy limitations of drones, show strong potential in enhancing privacy within the IoD.

Authors

Institutions

Publication Details

Published
2025-11-25
DOI
https://doi.org/10.23919/pemwn67312.2025.11304056
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Location Privacy Preservation Scheme for the Internet of Drones

Leila Benarous, Saâdi Boudjit
UAV Applications and Optimization
article

A Location Privacy Preservation Scheme for the Internet of Drones

Leila Benarous, Saâdi Boudjit
article en

Abstract

The use of Unmanned Aerial Vehicles (UAVs), or drones, has become increasingly widespread across a variety of applications, ranging from filmmaking and surveillance to rescue operations, espionage, and military missions. This proliferation has given rise to drone networks, swarms, fleets, and the Internet of Drones (IoD). As these drones are used to carry confidential and sensitive missions, location privacy and security are of essential importance to ensure. Drones are required to broadcast location data and identifiers for navigation and safety, yet they inherit the resource constraints of the Internet of Things (IoT), such as limited battery life and computational capacity, which necessitate lightweight and efficient security solutions. To address these challenges, we propose an identifier-changing scheme designed to prevent tracking and safeguard both identity and location privacy. Our approach relies on inter-drone cooperation, coordinated silence periods, and location obfuscation to achieve unlinkability and anonymity. Techniques inspired by vehicular networks, when adapted to the energy limitations of drones, show strong potential in enhancing privacy within the IoD.

Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes (FR), Amar Telidji University of Laghouat (DZ), Université de Rouen Normandie (FR), Institut National des Sciences Appliquées Rouen Normandie (FR)
Openalex Percentile: Top 55%
UAV Applications and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.