Mitigating Unbalanced And Overlapped Problems Of Large Network Intrusion Data Using Multiplelevel Detection Techniques

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Mitigating Unbalanced And Overlapped Problems Of Large Network Intrusion Data Using Multiplelevel Detection Techniques

Network intrusion data sets are usually unbalanced in class distribution because intrusions are rare occurrences in computer networks. Besides, data set classes may overlap because of their high similarity. These problems have caused a low detection rate for intrusions that are the minority in data...

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Bibliographic Details
Main Author:	Ho, Yan Bing
Format:	Final Year Project / Dissertation / Thesis
Published:	2022
Subjects:	Q Science (General)
Online Access:	http://eprints.utar.edu.my/4616/ http://eprints.utar.edu.my/4616/1/2002159_Ho_Yan_Bing.pdf

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