A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection

A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection

Network intrusion detection research work that employed KDDCup 99 dataset often encounter challenges in creating classifiers that could handle unequal distributed attack categories. The accuracy of a classification model could be jeopardized if the distribution of attack categories in a training dat...

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Bibliographic Details
Main Authors: Khor, Kok Chin, Ting, Choo Yee, Somnuk, Phon Amnuaisuk
Format: Article
Language:English
Published: Springer US 2012
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://shdl.mmu.edu.my/3463/
http://shdl.mmu.edu.my/3463/1/A%20cascaded%20classifier%20approach%20for%20improving%20detection%20rates%20on%C2%A0rare%20attack%20categories%20in%20network%20intrusion%20detection.pdf

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