VISNU: A Novel Visualization Methodology of Security Events Optimized for a Centralized SOC. - Taewoong Kwon; Jungsuk Song 001; Sangsu Choi; Yunsoo Lee; Jinhak Park (AsiaJCIS, 2018)

Platform Design and Implementation for Flexible Data Processing and Building ML Models of IDS Alerts. - Iksoo Shin; Yunsoo Choi; Taewoong Kwon; Hyeakro Lee; Jungsuk Song 001 (AsiaJCIS, 2019)

Integrated Visual Analytics Approach against Multivariate Cybersecurity Attack. - Taewoong Kwon; Iksoo Shin; Kyuil Kim; Jungsuk Song 001; Jun Lee (AVI, 2020)

An Easy-to-use Framework to Build and Operate AI-based Intrusion Detection for In-situ Monitoring. - Ikje Choi; Jun Lee; Taewoong Kwon; Kyuil Kim; Yoonsu Choi; Jungsuk Song 001 (AsiaJCIS, 2021)

F/Wvis: Hierarchical Visual Approach for Effective Optimization of Firewall Policy. - Taeyong Kim; Taewoong Kwon; Jun Lee; Jungsuk Song 001 (IEEE Access, 2021)

Intrusion Detection Systems Based on Machine Learning Using Feature Expansion Methods. - Joonwoo Myung; Youngmin Ko; Taewoong Kwon; Jun Lee; Kyuil Kim; Jung-suk Song 001 (AsiaJCIS, 2023)

Enhancing Decision-Making of Network Intrusion Analysis Assisted by Explainable AI for Real-Time Security Monitoring. - Hyunwoo Lee; Taewoong Kwon; Jun Lee; Jungsuk Song 001 (DSC, 2024)