CHANSU HAN

Researcher
Center for Research on AI Security and Technology Evolution

Researcher
Cybersecurity Laboratory, Cybersecurity Research Institute

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.

Research interests: machine learning/artificial intelligence, data analysis, cyber-attack analysis, malware analysis
Keyword: anomaly detection, clustering, classification, deep learning, darknet analysis, network intrusion detection

Selected papers

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.

Awards

IPSJ CSS Best Student Paper Award, 2021 (co-author)

CHANSU HAN

Selected papers

Awards

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