기계학습 기반 IDS 보안이벤트 분류 모델의 정확도 및 신속도 향상을 위한 실용적 feature 추출 연구
Vol. 28, No. 2, pp. 385-395,
4월.
2018
10.13089/JKIISC.2018.28.2.385, Full Text:
Keywords: Network Security, IDS, False Alarm, Machine Learning, SVM
Abstract Statistics
Cite this article
10.13089/JKIISC.2018.28.2.385, Full Text:
Keywords: Network Security, IDS, False Alarm, Machine Learning, SVM
Abstract Statistics
Cite this article
[IEEE Style]
I. Shin, J. Song, J. Choi, T. Kwon, "A Practical Feature Extraction for Improving Accuracy and Speed of IDS Alerts Classification Models Based on Machine Learning," Journal of The Korea Institute of Information Security and Cryptology, vol. 28, no. 2, pp. 385-395, 2018. DOI: 10.13089/JKIISC.2018.28.2.385.
[ACM Style]
Iksoo Shin, Jungsuk Song, Jangwon Choi, and Taewoong Kwon. 2018. A Practical Feature Extraction for Improving Accuracy and Speed of IDS Alerts Classification Models Based on Machine Learning. Journal of The Korea Institute of Information Security and Cryptology, 28, 2, (2018), 385-395. DOI: 10.13089/JKIISC.2018.28.2.385.