Prof.
Myungkeun Yoon
윤명근 교수
Information Security Lab
Education
학력
Ph.D. University of Florida, Computer Engineering (2008)
M.S. Yonsei University, Computer Engineering (1998)
B.S. Yonsei University, Computer Science (1996)
M.S. Yonsei University, Computer Engineering (1998)
B.S. Yonsei University, Computer Science (1996)
Career
경력
2010-Present Professor, School of Software & School of AI, Kookmin University
2024-Present Director of Information and Communications, Kookmin University
2015-Present Consultant, Financial Security Institute / Fintech / Security Management
1998-2010 Division Head, Information Security Analysis Center & Financial ISAC, Korea Financial Telecommunications & Clearings Institute
2024-Present Director of Information and Communications, Kookmin University
2015-Present Consultant, Financial Security Institute / Fintech / Security Management
1998-2010 Division Head, Information Security Analysis Center & Financial ISAC, Korea Financial Telecommunications & Clearings Institute
2010-현재 국민대학교 소프트웨어학부·AI융합전공 교수
2024-현재 국민대학교 정보통신처장
2015-현재 금융보안원·핀테크·보안관리 자문위원
1998-2010 금융결제원 정보보호분석센터·금융ISAC 부장
2024-현재 국민대학교 정보통신처장
2015-현재 금융보안원·핀테크·보안관리 자문위원
1998-2010 금융결제원 정보보호분석센터·금융ISAC 부장
Research Overview 연구 개요
Research focuses on network security, AI-driven cybersecurity, and data structure algorithms for high-speed traffic analysis. The lab develops techniques for malware detection, encrypted traffic classification, intrusion detection systems, and DDoS defense, with expertise in Bloom filters and streaming algorithms applied to network monitoring.
네트워크 보안, AI 기반 사이버보안, 고속 트래픽 분석을 위한 자료구조 알고리즘을 연구합니다. 악성코드 탐지, 암호화 트래픽 분류, 침입 탐지 시스템, DDoS 방어 기술을 개발하며, 블룸 필터와 스트리밍 알고리즘의 네트워크 모니터링 적용에 강점을 가지고 있습니다.
Research Areas 연구 분야
- Network Security & Intrusion Detection
- AI/ML-based Malware Detection
- Encrypted Traffic Analysis
- Bloom Filters & Probabilistic Data Structures
- DDoS Defense
- 네트워크 보안 및 침입 탐지
- AI/ML 기반 악성코드 탐지
- 암호화 트래픽 분석
- 블룸 필터 및 확률적 자료구조
- DDoS 방어
Major Achievements 주요 연구 성과
- Generative Intrusion Detection and Prevention on Data Stream (USENIX Security 2023)
- Over 40 international journal/conference publications including IEEE/ACM ToN, IEEE INFOCOM, USENIX Security
- Board member of Korean Information Protection Society
- 25+ funded research projects from NRF, IITP, KISA
Honors & Awards 수상
- Best Paper Award, CISC-S'25 (Korean Information Protection Society Summer Conference 2025)
- Outstanding Paper Award, Korean Information Protection Society Winter Conference 2025
- Outstanding Paper Award, Korean Information Protection Society Winter Conference 2024
Recent Publications 주요 논문
- Y. Lee, J. Im, J. Kim, and M. Yoon, "Mitigating Semantic Label Divergence in Federated Learning: Obfuscated Encoding and Alert Filtering for Security Monitoring," PLoS ONE, 2025
- S. Jang, J. Kim, H. Shon, C. Park, and M. Yoon, "Detecting Unknown Cyberattacks on Traffic Management Center in C-ITS," IEEE Communications Magazine, 2025
- M. Kim, W. Jang, J. Hur, and M. Yoon, "Relative Frequency-Rank Encoding for Unsupervised Network Anomaly Detection," IEEE/ACM Trans. on Networking, Vol. 32, 2024
- Y. Han, H. Seo, and M. Yoon, "Detecting Internet-of-Things Malware on Evidence Generation," IEEE Internet of Things Journal, Vol. 11, 2024
- H. Seo and M. Yoon, "Generative Intrusion Detection and Prevention on Data Stream," USENIX Security, 2023
- S. Hong, H. Seo, and M. Yoon, "Data Auditing for Intelligent Network Security Monitoring," IEEE Communications Magazine, Vol. 61, 2023
- J. Hur, H. Shon, Y. J. Kim, and M. Yoon, "Packet Chunking For File Detection," IEEE/ACM Trans. on Networking, 2023
- W. Jang, H. Kim, H. Seo, M. Kim, and M. Yoon, "SELID: Selective Event Labeling for Intrusion Detection Datasets," MDPI Sensors, Vol. 23, 2023