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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer US
2012
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| Subjects: | |
| 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 |