Open Access
ARTICLE
Multi-Binary Classifiers Using Optimal Feature Selection for Memory-Saving Intrusion Detection Systems
1 Department of Future Convergence Technology Engineering, Sungshin Women’s University, Seoul, 02844, Republic of Korea
2 Department of Convergence Security Engineering, Sungshin Women’s University, Seoul, 02844, Republic of Korea
* Corresponding Author: Il-Gu Lee. Email:
# Ye-Seul Kil and Yu-Ran Jeon contributed equally