… In our proposed work, the decision tree algorithm is developed based on C4.5 decision tree
approach. … In this paper, the decision tree classifier is used to classify input data as normal or …

… decision tree for network intrusion detection and we got the accuracy of approximately 97.23%.
Using WEKA 3.6.10 tool, we build the decision tree for detecting intrusion … generated tree …

… The objective of this paper is to construct a lightweight Intrusion Detection System (IDS)
aimed at detecting anomalies in networks. The crucial part of building lightweight IDS depends …

… In this paper we are studying an algorithm, Tree structured multiclass SVM, which has been
used for … the decision tree based algorithm to construct multiclass intrusion detection system. …

… decision tree, then we test the attribute specified by this node. The result of this test allows to
move down the tree … in order to ensure the construction of decision trees and its use for the …

… systems are signaturebased that are not capable of detecting unknown attacks. In this paper
… attack detection using decision tree algorithm. Keywords- Intrusion Detection System; KDD …

… of increasing the detection rate and decreasing the false alarm rate in network intrusion
detection. We used the KDDCUP 99 data set to train and test the decision tree classifiers. The …

… In this paper, Intrusion Detection System based on Decision tree has been proposed for
NSL-KDD dataset. Four different models have been proposed for the dataset; two model for five …

… effective decision tree-based detection framework. INDEX TERMS Intrusion Detection System…
The new taxonomy of the intrusiondetection discipline is described in this study and further …

… In this paper, a new learning algorithm for adaptive network intrusion detection using naive
Bayesian classifier and decision tree is presented, which performs balance detections and …