DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-7 ( Jul, 2017 ) | |||||||||
Paper Title |
Classification of Network Movements with KNN in Network Attack Prevention Systems | |||||||||
Author Name |
Yuksel Çelik, Erdal Basaran | |||||||||
Affilition |
Karabuk University , Computer Engineering Department, [email protected] Bitlis Eren University,Directorate of Computing (Computer Center) , [email protected] | |||||||||
Pages |
82-85 | |||||||||
Abstract |
The Intrusion Detection Systems important part of computer and network security. There are many intrusion detection systems classified network activities as normal or abnormal by using intelligent techniques. In this study, normal and abnormal (R2L, U2R, DOS) network traffic movements are classified by using artificial neural networks and KNN classification methods. In our experimental tests, we used KDDCup99 network traffic data which is frequently used in the literature. High accuracy classification results obtained in our study are shown Keywords- KDD 99, Intrusion Detection System (IDS), K-Nearest Neighbor (KNN). | |||||||||
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