IDS-DEEP: a strategy for selecting the best IDS for Drones with heterogeneous EmbEdded Platforms

Acte de colloque

Louis Morge-Rollet, Camelia Slimani, Laurent Lemarchand, Frédéric Le Roy, David Espes et Jalil Boukhobza

Proceedings (Symposium on Computer Architecture and High Performance Computing), pp.138-147

2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

14/11/2024

Résumé

Artificial Intelligence

Computer Science

Distributed, Parallel, and Cluster Computing

Embedded Systems

Hardware Architecture

1 Consultations de la notice

Titre: IDS-DEEP: a strategy for selecting the best IDS for Drones with heterogeneous EmbEdded Platforms
Créateurs - sans rôle: Louis Morge-Rollet - Equipe Security, Intelligence and Integrity of Information
Camelia Slimani - Equipe Software/HArdware and unKnown Environment inteRactions
Laurent Lemarchand - Equipe Software/HArdware and unKnown Environment inteRactions
Frédéric Le Roy - École nationale supérieure de techniques avancées Bretagne
David Espes - Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance
Jalil Boukhobza - Equipe Software/HArdware and unKnown Environment inteRactions
Détails de publication: Proceedings (Symposium on Computer Architecture and High Performance Computing), pp.138-147
Colloque: 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
Éditeur: IEEE
Nombre de pages: 10
Identifiants: 99156983809311
Unité académique: Montpellier Recherche en Management - MRM
Langue: English
Type de ressource: Conference proceeding