American Journal of Engineering and Applied Sciences

Intrusion Preventing System using Intrusion Detection System Decision Tree Data Mining

Syurahbil , Noraziah Ahmad, M. Fadly Zolkipli and Ahmed N. Abdalla

DOI : 10.3844/ajeassp.2009.721.725

American Journal of Engineering and Applied Sciences

Volume 2, Issue 4

Pages 721-725

Abstract

Problem statement: To distinguish the activities of the network traffic that the intrusion and normal is very difficult and to need much time consuming. An analyst must review all the data that large and wide to find the sequence of intrusion on the network connection. Therefore, it needs a way that can detect network intrusion to reflect the current network traffics. Approach: In this study, a novel method to find intrusion characteristic for IDS using decision tree machine learning of data mining technique was proposed. Method used to generate of rules is classification by ID3 algorithm of decision tree. Results: These rules can determine of intrusion characteristics then to implement in the firewall policy rules as prevention. Conclusion: Combination of IDS and firewall so-called the IPS, so that besides detecting the existence of intrusion also can execute by doing deny of intrusion as prevention.

Copyright

© 2009 Syurahbil , Noraziah Ahmad, M. Fadly Zolkipli and Ahmed N. Abdalla. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.