DSpace
 

Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >

Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/7700

Titre: Intrusion detection systems using data mining techniques : a comparative study
Auteur(s): Haddadi, Mohamed
Khiat, Abdelhamid
Bahnes, Nacera
Mots-clés: Data mining
Experimental comparison
IDS
NSL KDD dataset
Tanagra
Weka
Date de publication: 2021
Editeur: IEEE
Collection/Numéro: 2021 International Conference on Information Systems and Advanced Technologies (ICISAT); pp. 1-3
Résumé: Data mining tools are widely used in computer networks. The well-known and mostly used tools to secure computers and network systems are WEKA and TANAGRA. The purpose of this study is to compare these two tools in terms of detection accuracy and computation time. This comparison was conducted using a well-known NSL-KDD dataset. Experiments show that TANAGRA achieves better results than WEKA in detection accuracy. But, TANAGRA is competitive with WEKA in terms of computation time
URI/URL: DOI: 10.1109/ICISAT54145.2021.9678485
https://ieeexplore.ieee.org/document/9678485
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/7700
ISBN: 978-166547824-3
Collection(s) :Communications Internationales

Fichier(s) constituant ce document :

Fichier Description TailleFormat
Haddadi M..pdf215,38 kBAdobe PDFVoir/Ouvrir
View Statistics

Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.

 

Valid XHTML 1.0! Ce site utilise l'application DSpace, Version 1.4.1 - Commentaires