Botnet Detection Using Graphical Lasso with Graph Density. - Chansu Han; Kento Kono; Shoma Tanaka; Masanori Kawakita; Jun'ichi Takeuchi (ICONIP (1), 2016)

A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. - Tianxiang He; Chansu Han; Ryoichi Isawa; Takeshi Takahashi 001; Shuji Kijima; Jun'ichi Takeuchi; Koji Nakao (ICONIP (1), 2019)

Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso. - Chansu Han; Jumpei Shimamura; Takeshi Takahashi 001; Daisuke Inoue; Masanori Kawakita; Jun'ichi Takeuchi; Koji Nakao (TrustCom/BigDataSE, 2019)

Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso. - Chansu Han; Jumpei Shimamura; Takeshi Takahashi 001; Daisuke Inoue; Jun'ichi Takeuchi; Koji Nakao (IEICE Trans. Inf. Syst., 2020)

Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions. - Ryosuke Ishibashi; Hiroki Goto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (AsiaJCIS, 2021)

Towards Efficient Labeling of Network Incident Datasets Using Tcpreplay and Snort. - Kohei Masumi; Chansu Han; Tao Ban; Takeshi Takahashi 001 (CODASPY, 2021)

Scalable and Fast Hierarchical Clustering of IoT Malware Using Active Data Selection. - Tianxiang He; Chansu Han; Takeshi Takahashi 001; Shuji Kijima; Jun'ichi Takeuchi (FMEC, 2021)

Internet-Wide Scanner Fingerprint Identifier Based on TCP/IP Header. - Akira Tanaka; Chansu Han; Takeshi Takahashi 001; Katsuki Fujisawa (FMEC, 2021)

Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? - Takeshi Takahashi 001; Yuki Umemura; Chansu Han; Tao Ban; Keisuke Furumoto; Ohnori Nakamura; Katsunari Yoshioka; Jun'ichi Takeuchi; Noboru Murata; Yoshiaki Shiraishi (PerCom Workshops, 2021)

Investigating behavioral differences between IoT malware via function call sequence graphs. - Reo Kawasoe; Chansu Han; Ryoichi Isawa; Takeshi Takahashi 001; Jun'ichi Takeuchi (SAC, 2021)

Automated Detection of Malware Activities Using Nonnegative Matrix Factorization. - Chansu Han; Jun'ichi Takeuchi; Takeshi Takahashi 001; Daisuke Inoue (TrustCom, 2021)

Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks. - Bo Sun; Tao Ban; Chansu Han; Takeshi Takahashi 001; Katsunari Yoshioka; Jun'ichi Takeuchi; Abdolhossein Sarrafzadeh; Meikang Qiu; Daisuke Inoue (IEEE Access, 2021)

Darknet Analysis-Based Early Detection Framework for Malware Activity: Issue and Potential Extension. - Chansu Han; Akira Tanaka; Takeshi Takahashi 001 (IEEE Big Data, 2022)

Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique. - Kei Oshio; Satoshi Takada; Chansu Han; Akira Tanaka; Jun'ichi Takeuchi (ISCC, 2022)

Malicious Packet Classification Based on Neural Network Using Kitsune Features. - Kohei Miyamoto; Hiroki Goto; Ryosuke Ishibashi; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (ISPR, 2022)

Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns. - Chansu Han; Jun'ichi Takeuchi; Takeshi Takahashi 001; Daisuke Inoue (IEEE Access, 2022)

Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems. - Ryosuke Ishibashi; Kohei Miyamoto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (IEEE Access, 2022)

Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads. - Shota Kawanaka; Yoshikatsu Kashiwabara; Kohei Miyamoto; Masazumi Iida; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (AsiaJCIS, 2023)

Work in Progress: New Seed Set Selection Method of the Scalable Method for Constructing Phylogenetic Trees. - Tianxiang He; Chansu Han; Akira Tanaka; Takeshi Takahashi 001; Jun'ichi Takeuchi (CF, 2023)

Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering. - Kei Oshio; Satoshi Takada; Tianxiang He; Chansu Han; Akira Tanaka; Takeshi Takahashi 001; Jun'ichi Takeuchi (COMPSAC, 2023)

Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis. - Chansu Han; Akira Tanaka; Jun'ichi Takeuchi; Takeshi Takahashi 001; Tomohiro Morikawa; Tsung-Nan Lin (ICISSP, 2023)

Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering. - Tianxiang He; Chansu Han; Ryoichi Isawa; Takeshi Takahashi 001; Shuji Kijima; Jun'ichi Takeuchi (IEEE Access, 2023)

Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach. - Kohei Miyamoto; Masazumi Iida; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (IEEE Access, 2023)

Detecting Coordinated Internet-Wide Scanning by TCP/IP Header Fingerprint. - Akira Tanaka; Chansu Han; Takeshi Takahashi 001 (IEEE Access, 2023)

FINISH: Efficient and Scalable NMF-Based Federated Learning for Detecting Malware Activities. - Yu-Wei Chang 005; Hong-Yen Chen; Chansu Han; Tomohiro Morikawa; Takeshi Takahashi 001; Tsung-Nan Lin (IEEE Trans. Emerg. Top. Comput., 2023)

Wafer Type Ion Energy Monitoring Sensor for Plasma Diagnosis. - Chansu Han; Yoonsung Koo; Jaehwan Kim; Kwangwook Choi; Sang Jeen Hong (Sensors, 2023)

Intrusion Detection Simplified: A Feature-free Approach to Traffic Classification Using Transformers. - Kohei Miyamoto; Chansu Han; Tao Ban; Takeshi Takahashi 001; Jun'ichi Takeuchi (ACSAC Workshops, 2024)

Traceability Measurement Analysis of Sustained Internet-Wide Scanners via Darknet. - Chansu Han; Akira Tanaka; Takeshi Takahashi 001; Sajjad Dadkhah; Ali A. Ghorbani 001; Tsung-Nan Lin (DSC, 2024)