Malware detection and classification for GCS of UAV

dc.contributor.author	Amina, Kemache
dc.date.accessioned	2021-12-06T14:17:46Z
dc.date.available	2021-12-06T14:17:46Z
dc.date.issued	2021
dc.identifier.uri	http//localhost:8080/jspui/handle/123456789/834
dc.description.abstract	Recently, the use of unmanned aerial vehicles (UAV), which is a remotely piloted aircraft, has developed. UAV are used in various fields such as emergency rescue, photo taking, weather, as well as military field. And other areas Due to its importance and development, it has become vulnerable to many hacker attacks, among the hacker methods using it files and malware; they are focused on communication channels and sensors, as well as the ground control station (GCS) In our work we focused on attacks on the ground control station, we used several models for the detection and prediction of malicious files	en_US
dc.description.sponsorship	Mr. A. Gattal	en_US
dc.language.iso	en	en_US
dc.publisher	Université Larbi Tébessi Tébessa	en_US
dc.subject	station de contrôle au sol (GCS), aérons sans pilot (UAV), interface de programmation d’application (API), Apprentissage, L’extraction des caractéristiques, classification, Sélection de caractéristique	en_US
dc.title	Malware detection and classification for GCS of UAV	en_US
dc.type	Thesis	en_US