Improving anomalous rare attack detection rate for intrusion detection system using support vector machine and genetic programming
Commonly addressed problem in intrusion detection system (IDS) research works that employed NSL-KDD dataset is to improve the rare attacks detection rate. However, some of the rare attacks are hard to be recognized by the IDS model due to their patterns are totally missing from the training set, hen...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Verlag
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/54525/1/Improving%20anomalous%20rare%20attack%20detection%20rate%20for%20intrusion%20detection%20system%20using%20support%20vector%20machine%20and%20genetic%20programming.pdf http://psasir.upm.edu.my/id/eprint/54525/ https://link.springer.com/article/10.1007/s11063-015-9457-y |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/54525/1/Improving%20anomalous%20rare%20attack%20detection%20rate%20for%20intrusion%20detection%20system%20using%20support%20vector%20machine%20and%20genetic%20programming.pdfhttp://psasir.upm.edu.my/id/eprint/54525/
https://link.springer.com/article/10.1007/s11063-015-9457-y