CHANSU HAN韓燦洙 (ハンチャンスウ)

サイバーセキュリティ研究所
AIセキュリティ研究センター　研究員

サイバーセキュリティ研究所
サイバーセキュリティ研究室　研究員

Chansu Han received his B.E. degree in computer science and M.S. and Ph.D. degrees in informatics engineering from Kyushu University in 2016, 2018, and 2021, respectively. He is currently a researcher at the National Institute of Information and Communications Technology (NICT), Japan. His research interests include analyzing and solving problems in the cybersecurity field (especially networks and malware) using machine learning.

研究分野: 機械学習/人工知能、データ解析、サイバー攻撃解析、マルウェア解析
キーワード: 異常検知、クラスタリング、分類、深層学習、ダークネット解析、ネットワーク侵入検知

selected papers主要論文

C. Han, J. Takeuchi, T. Takahashi, and D. Inoue, ''Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns,'' IEEE ACCESS, 2022.
R. Ishibashi, K. Miyamoto, C. Han, T. Ban, T. Takahashi, and J. Takeuchi, “Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems,” IEEE ACCESS, 2022.
A. Tanaka, C. Han, T. Takahashi, and K. Fujisawa, ''Proposing a Genetic Algorithm Approach for Unveiling Fingerprint of Internet-Wide Scanner,'' Computer Security Symposium (CSS2021), Oct 2021.
C. Han, J. Takeuchi, T. Takahashi, and D. Inoue, ''Automated Detection of Malware Activities Using Nonnegative Matrix Factorization,'' IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021.
R. Kawasoe, C. Han, R. Isawa, T. Takahashi, and J. Takeuchi, ''Investigating Behavioral Differences between IoT Malware via Function Call Sequence Graphs,'' Proceedings of the 36th ACM/SIGAPP Symposium on Applied Computing (SAC), 2021.