Please use this identifier to cite or link to this item:
http://dspace.univ-temouchent.edu.dz/handle/123456789/5860| Title: | Détection d’intrusions informatiques via le deep learning |
| Authors: | Madouni, Riad Hadj Said, Houcine Zakaria Belgrana, Fatima Zohra |
| Keywords: | IntrusionDetectionSystem(IDS),deeplearning,visiontransformers,featureselection, variancerate,randomforests,dimensionalityreduction,randomsampling,NSLKDD,CIC2017 Systèmededétectiond’intrusion(SDI),apprentissageprofond,transformateursde vision, sélectiondescaractéristiques,tauxdevariance,forêtsaléatoires,réductiondedimensionnalité, échantillonnagealéatoire,NSLKDD,CIC2017. |
| Issue Date: | 2023 |
| URI: | http://dspace.univ-temouchent.edu.dz/handle/123456789/5860 |
| Appears in Collections: | Mathématique |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| memoire.pdf | 2,33 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.