Intrusion detection systems using data mining techniques : a comparative study
| dc.contributor.author | Haddadi, Mohamed | |
| dc.contributor.author | Khiat, Abdelhamid | |
| dc.contributor.author | Bahnes, Nacera | |
| dc.date.accessioned | 2022-03-14T07:29:18Z | |
| dc.date.available | 2022-03-14T07:29:18Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | 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 | en_US |
| dc.identifier.isbn | 978-166547824-3 | |
| dc.identifier.uri | DOI: 10.1109/ICISAT54145.2021.9678485 | |
| dc.identifier.uri | https://ieeexplore.ieee.org/document/9678485 | |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/7700 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartofseries | 2021 International Conference on Information Systems and Advanced Technologies (ICISAT); pp. 1-3 | |
| dc.subject | Data mining | en_US |
| dc.subject | Experimental comparison | en_US |
| dc.subject | IDS | en_US |
| dc.subject | NSL KDD dataset | en_US |
| dc.subject | Tanagra | en_US |
| dc.subject | Weka | en_US |
| dc.title | Intrusion detection systems using data mining techniques : a comparative study | en_US |
| dc.type | Other | en_US |