A Two-Dimensional Data Fusion Model for Intrusion Detection

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/30760

Title:	A Two-Dimensional Data Fusion Model for Intrusion Detection
Authors:	游坤明 Yu, K.M.
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	Intrusion detection system Data fusion Dempster-Shafer’s Theory Bayesian Theory Support Vector Machine
Date:	2008
Issue Date:	2014-06-27 01:09:44 (UTC+8)
Abstract:	When the same data are detected and classified with different classifiers, there will be inconsistencies in the results. This shows that different factors cause the classifiers’ detection accuracy not alike. In this study, the proposed methods were verif
Appears in Collections:	[Department of Computer Science and Information Engineering] Seminar Papers

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