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Combining MLP and Using Decision Tree in Order to Detect the Intrusion into Computer Networks

Author(s): Saba Sedigh Rad | Alireza Zebarjad

Journal: International Journal of Computer Science and Network Solutions
ISSN 2345-3397

Volume: 1;
Issue: 3;
Start page: 68;
Date: 2013;
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Keywords: Intrusion detection system | combining experts | MLP neural networks | Decision Tree | KDDCup99

The security of computer networks has an important role in computer systems. The increasing use of computer networks results in penetration and destruction of systems by system operations. So, in order to keep the systems away from these hazards, it is essential to use the intrusion detection system (IDS). This intrusion detection is done in order to detect the illicit use and misuse and to avoid damages to the systems and computer networks by both the external and internal intruders. Intrusion detection system based on the combination of experts has been offered using MLP neural networks with the aid of a mediator expert which is applied by Decision Tree. The offered method has been tested using KDDCup99 dataset. The results show the increase in attack detection precision. Also, using this method has a high output considering the previous methods in detecting R2L attacks which have few pedagogical samples.
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