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.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.provenance | Submitted by snv snv (dspace.snv@univ-tebessa.dz) on 2021-12-06T14:17:46Z No. of bitstreams: 1 memoire.pdf: 4989293 bytes, checksum: ac9ee880fa264138be019e6cd2e33181 (MD5) | en |
| dc.description.provenance | Made available in DSpace on 2021-12-06T14:17:46Z (GMT). No. of bitstreams: 1 memoire.pdf: 4989293 bytes, checksum: ac9ee880fa264138be019e6cd2e33181 (MD5) Previous issue date: 2021 | en |
| dc.description.sponsorship | Mr. A. Gattal | en_US |
| dc.identifier.uri | http//localhost:8080/jspui/handle/123456789/834 | |
| 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 |