Intrusion detection method based on Bayesian and decision tree

In view of problems of low detection rate and high false detection rate in intrusion detection method based on Bayesian or decision tree, the paper proposed an intrusion detection method based on Bayesian and decision tree. Firstly, Naive Bayesian method based on feature similarity is used to classi...

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Main Authors: CHI Jing, YANG Zhen-yu, ZHANG Ting
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2013-02-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/id/8950
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author CHI Jing
YANG Zhen-yu
ZHANG Ting
author_facet CHI Jing
YANG Zhen-yu
ZHANG Ting
author_sort CHI Jing
collection DOAJ
description In view of problems of low detection rate and high false detection rate in intrusion detection method based on Bayesian or decision tree, the paper proposed an intrusion detection method based on Bayesian and decision tree. Firstly, Naive Bayesian method based on feature similarity is used to classify samples of training set and class value of each sample is updated. Then the samples are classified with Naive Bayesian method again. Those classes which contain misclassified samples are divided into some subclasses by using the attributes which were determined by information gain of decision tree, and the subclasses are operated on classification and partition. Finally, the model of combination of Bayesian and decision tree is used for intrusion detection. The experiment result showed that the detection method has higher detection rate than the method using either Bayesian or decision tree.
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spelling doaj.art-b31e33c54e664a5698d399101c17218b2023-03-17T01:59:07ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2013-02-013926265Intrusion detection method based on Bayesian and decision treeCHI JingYANG Zhen-yuZHANG TingIn view of problems of low detection rate and high false detection rate in intrusion detection method based on Bayesian or decision tree, the paper proposed an intrusion detection method based on Bayesian and decision tree. Firstly, Naive Bayesian method based on feature similarity is used to classify samples of training set and class value of each sample is updated. Then the samples are classified with Naive Bayesian method again. Those classes which contain misclassified samples are divided into some subclasses by using the attributes which were determined by information gain of decision tree, and the subclasses are operated on classification and partition. Finally, the model of combination of Bayesian and decision tree is used for intrusion detection. The experiment result showed that the detection method has higher detection rate than the method using either Bayesian or decision tree.http://www.gkzdh.cn/article/id/8950intrusion detectionnaive bayesiandecision treesimilarityinformation gai
spellingShingle CHI Jing
YANG Zhen-yu
ZHANG Ting
Intrusion detection method based on Bayesian and decision tree
Gong-kuang zidonghua
intrusion detection
naive bayesian
decision tree
similarity
information gai
title Intrusion detection method based on Bayesian and decision tree
title_full Intrusion detection method based on Bayesian and decision tree
title_fullStr Intrusion detection method based on Bayesian and decision tree
title_full_unstemmed Intrusion detection method based on Bayesian and decision tree
title_short Intrusion detection method based on Bayesian and decision tree
title_sort intrusion detection method based on bayesian and decision tree
topic intrusion detection
naive bayesian
decision tree
similarity
information gai
url http://www.gkzdh.cn/article/id/8950
work_keys_str_mv AT chijing intrusiondetectionmethodbasedonbayesiananddecisiontree
AT yangzhenyu intrusiondetectionmethodbasedonbayesiananddecisiontree
AT zhangting intrusiondetectionmethodbasedonbayesiananddecisiontree