« Identification Ami-Ennemi/en » : différence entre les versions

De Wiki Campus Cyber
Aller à :navigation, rechercher
Page créée avec « The aim of this report is to examine the various existing approaches to identifying friendly and enemy UAVs, highlighting their advantages, limitations and technical challenges. It will also explore innovative solutions, including the integration of artificial intelligence, secure communication protocols and hybrid identification systems. Finally, we will propose possible improvements aimed at enhancing the reliability and efficiency of FFI systems in an increa... »
 
Page créée avec « == Description== This document has been produced by the ‘Cybersecurity of UAVs and Robots’ community of interest on the subject of ‘Friend-Enemy Identification’ applied to aerial, ground or naval UAVs. »
 
Ligne 9 : Ligne 9 :
|PDFDeliverable=CI_Drone_Identification Ami-Ennemi.pdf
|PDFDeliverable=CI_Drone_Identification Ami-Ennemi.pdf
}}
}}
<div lang="fr" dir="ltr" class="mw-content-ltr">
== Description==
== Description==
Ce document est produit par la communauté d’intêret  « Cybersécurité des drones et des robots » sur le sujet de  « l’identification Ami-Ennemi » appliquée aux drones aériens, terrestres ou navals.
This document has been produced by the ‘Cybersecurity of UAVs and Robots’ community of interest on the subject of ‘Friend-Enemy Identification’ applied to aerial, ground or naval UAVs.  
</div>


The aim of this report is to examine the various existing approaches to identifying friendly and enemy UAVs, highlighting their advantages, limitations and technical challenges. It will also explore innovative solutions, including the integration of artificial intelligence, secure communication protocols and hybrid identification systems.   
The aim of this report is to examine the various existing approaches to identifying friendly and enemy UAVs, highlighting their advantages, limitations and technical challenges. It will also explore innovative solutions, including the integration of artificial intelligence, secure communication protocols and hybrid identification systems.   

Dernière version du 13 mai 2025 à 16:34

Production du GT "Identification Ami-Ennemi" de la Communauté d'intérêt "Sécurisation des drones et robots"

Catégorie : Commun Statut : Production 1 : Idée - 2 : Prototype - 3 : Validation - 4 : ProductionMots clés : Drones, Robots



Description

This document has been produced by the ‘Cybersecurity of UAVs and Robots’ community of interest on the subject of ‘Friend-Enemy Identification’ applied to aerial, ground or naval UAVs.

The aim of this report is to examine the various existing approaches to identifying friendly and enemy UAVs, highlighting their advantages, limitations and technical challenges. It will also explore innovative solutions, including the integration of artificial intelligence, secure communication protocols and hybrid identification systems. Finally, we will propose possible improvements aimed at enhancing the reliability and efficiency of FFI systems in an increasingly complex and evolving context.