Performance Evaluation of Open-Source Endpoint Detection and Response Combining Google Rapid Response and Osquery for Threat Detection. - So-Hyun Park 003; Sun-Woo Yun; So-Eun Jeon; Na-Eun Park; Hye-Yeon Shim; Yu-Rim Lee; Sun-Jin Lee; Tae-Rim Park; Na-Yeon Shin; Min-Jin Kang; Il-Gu Lee (IEEE Access, 2022)

Two-Step Feature Selection Technique for Secure and Lightweight Internet of Things. - So-Eun Jeon; Ye-Sol Oh; Ye-Seul Kil; Yeon-Ji Lee; Il-Gu Lee (ICCCN, 2023)

Machine Learning-Based Efficient Discovery of Software Vulnerability for Internet of Things. - So-Eun Jeon; Sun-Jin Lee; Il-Gu Lee (Intell. Autom. Soft Comput., 2023)

Hybrid in-network computing and distributed learning for large-scale data processing. - So-Eun Jeon; Sun-Jin Lee; Il-Gu Lee (Comput. Networks, 2023)

Machine learning-based jamming attack classification and effective defense technique. - Sun-Jin Lee; Yu-Rim Lee; So-Eun Jeon; Il-Gu Lee (Comput. Secur., 2023)

Optimization of Privacy-Utility Trade-Off for Efficient Feature Selection of Secure Internet of Things. - Ye-Seul Kil; Yeon-Ji Lee; So-Eun Jeon; Ye-Sol Oh; Il-Gu Lee (IEEE Access, 2024)

A machine learning-enhanced endpoint detection and response framework for fast and proactive defense against advanced cyber attacks. - Sun-Jin Lee; So-Eun Jeon; Il-Gu Lee (Soft Comput., 2024)

Ultra-High Reliable Multi-AP Cooperation Utilizing Securely Compressed Channel Status Information for Next Generation Wireless LANs. - So-Eun Jeon; Il-Gu Lee (ICOIN, 2025)