Comparison of Decision Tree Methods for Intrusion Detection

Ozturk, Fatih and Subasi, Abdulhamit (2010) Comparison of Decision Tree Methods for Intrusion Detection. In: 2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo.


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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Decision Tree; CART (Classification and Regression Trees); ID3; C4.5; Random Forest; Internet attack; Intrusion detection system (IDS).
Subjects: Q Science > Q Science (General)
Depositing User: Mr. Ibrahim Kinal
Date Deposited: 07 Feb 2012 13:35
Last Modified: 02 Mar 2012 10:32

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