Comparison of Decision Tree Methods for Intrusion Detection

Comparison of Decision Tree Methods for Intrusion Detection

Ozturk, Fatih
Subasi, Abdulhamit

The popularity of using Internet contains some risks of network attacks, and attack methods differ each day, thus information security problem has become a significant issue all over the world. Intrusion detection is one major research problem in network security, whose aim is to identify unusual access or attacks to secure internal networks. At the moment, it is an urgent need to detect, identify and prevent such attacks effectively. In this work, we compared efficiency of decision tree methods in intrusion detection system. We compared the accuracy, detection rate, false alarm rate for different attack types.

Conference or Workshop Item
PeerReviewed

2010-06

535