Open Access
ARTICLE
Improving the Detection Rate of Rarely Appearing Intrusions in Network-Based Intrusion Detection Systems
1 Department of Financial Information Security, Kookmin University, Seoul, 02707, Korea
2 Department of Computer Science and Engineering, Sejong University, Seoul, 05006, Korea
3 Department of Convergence Science, Kongju National University, Gongju, 32588, Korea
* Corresponding Author: Changho Seo. Email: