클래스 불균형 데이터에 적합한 기계 학습 기반 침입 탐지 시스템
Vol. 27, No. 6, pp. 1385-1395,
12월.
2017
10.13089/JKIISC.2017.27.6.,
Full Text:
Keywords: Intrusion Detection System, Machine Learning, Imbalanced Dataset
Abstract Statistics
Cite this article
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
![](https://d2kjln74dkk4oj.cloudfront.net/img/pdficon_small.png)
Keywords: Intrusion Detection System, Machine Learning, Imbalanced Dataset
Abstract Statistics
Cite this article
[IEEE Style]
Y. Cheong, K. Park, H. Kim, J. Kim, S. Hyun, "Machine Learning Based Intrusion Detection Systems for Class Imbalanced Datasets," Journal of The Korea Institute of Information Security and Cryptology, vol. 27, no. 6, pp. 1385-1395, 2017. DOI: 10.13089/JKIISC.2017.27.6..
[ACM Style]
Yun-Gyung Cheong, Kinam Park, Hyunjoo Kim, Jonghyun Kim, and Sangwon Hyun. 2017. Machine Learning Based Intrusion Detection Systems for Class Imbalanced Datasets. Journal of The Korea Institute of Information Security and Cryptology, 27, 6, (2017), 1385-1395. DOI: 10.13089/JKIISC.2017.27.6..