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Chansu Han
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Journal Articles
- 2023
- [j9]Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi:
Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering. IEEE Access 11: 8240-8253 (2023) - [j8]Akira Tanaka, Chansu Han, Takeshi Takahashi:
Detecting Coordinated Internet-Wide Scanning by TCP/IP Header Fingerprint. IEEE Access 11: 23227-23244 (2023) - [j7]Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach. IEEE Access 11: 132792-132810 (2023) - [j6]Chansu Han, Yoonsung Koo, Jaehwan Kim, Kwangwook Choi, Sang Jeen Hong:
Wafer Type Ion Energy Monitoring Sensor for Plasma Diagnosis. Sensors 23(5): 2410 (2023) - [j5]Yu-Wei Chang, Hong-Yen Chen, Chansu Han, Tomohiro Morikawa, Takeshi Takahashi, Tsung-Nan Lin:
FINISH: Efficient and Scalable NMF-Based Federated Learning for Detecting Malware Activities. IEEE Trans. Emerg. Top. Comput. 11(4): 934-949 (2023) - 2022
- [j4]Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue:
Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns. IEEE Access 10: 13038-13058 (2022) - [j3]Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems. IEEE Access 10: 53972-53986 (2022) - 2021
- [j2]Bo Sun, Tao Ban, Chansu Han, Takeshi Takahashi, Katsunari Yoshioka, Jun'ichi Takeuchi, Abdolhossein Sarrafzadeh, Meikang Qiu, Daisuke Inoue:
Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks. IEEE Access 9: 87962-87971 (2021) - 2020
- [j1]Chansu Han, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Jun'ichi Takeuchi, Koji Nakao:
Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso. IEICE Trans. Inf. Syst. 103-D(10): 2113-2124 (2020)
Conference and Workshop Papers
- 2023
- [c17]Shota Kawanaka, Yoshikatsu Kashiwabara, Kohei Miyamoto, Masazumi Iida, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads. AsiaJCIS 2023: 88-94 - [c16]Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi:
Work in Progress: New Seed Set Selection Method of the Scalable Method for Constructing Phylogenetic Trees. CF 2023: 364-365 - [c15]Kei Oshio, Satoshi Takada, Tianxiang He, Chansu Han, Akira Tanaka, Takeshi Takahashi, Jun'ichi Takeuchi:
Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering. COMPSAC 2023: 1552-1557 - [c14]Chansu Han, Akira Tanaka, Jun'ichi Takeuchi, Takeshi Takahashi, Tomohiro Morikawa, Tsung-Nan Lin:
Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis. ICISSP 2023: 617-625 - 2022
- [c13]Chansu Han, Akira Tanaka, Takeshi Takahashi:
Darknet Analysis-Based Early Detection Framework for Malware Activity: Issue and Potential Extension. IEEE Big Data 2022: 2980-2988 - [c12]Kei Oshio, Satoshi Takada, Chansu Han, Akira Tanaka, Jun'ichi Takeuchi:
Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique. ISCC 2022: 1-3 - [c11]Kohei Miyamoto, Hiroki Goto, Ryosuke Ishibashi, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Malicious Packet Classification Based on Neural Network Using Kitsune Features. ISPR 2022: 306-314 - 2021
- [c10]Ryosuke Ishibashi, Hiroki Goto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi:
Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions. AsiaJCIS 2021: 9-16 - [c9]Kohei Masumi, Chansu Han, Tao Ban, Takeshi Takahashi:
Towards Efficient Labeling of Network Incident Datasets Using Tcpreplay and Snort. CODASPY 2021: 329-331 - [c8]Tianxiang He, Chansu Han, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi:
Scalable and Fast Hierarchical Clustering of IoT Malware Using Active Data Selection. FMEC 2021: 1-6 - [c7]Akira Tanaka, Chansu Han, Takeshi Takahashi, Katsuki Fujisawa:
Internet-Wide Scanner Fingerprint Identifier Based on TCP/IP Header. FMEC 2021: 1-6 - [c6]Takeshi Takahashi, Yuki Umemura, Chansu Han, Tao Ban, Keisuke Furumoto, Ohnori Nakamura, Katsunari Yoshioka, Jun'ichi Takeuchi, Noboru Murata, Yoshiaki Shiraishi:
Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines? PerCom Workshops 2021: 376-379 - [c5]Reo Kawasoe, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Jun'ichi Takeuchi:
Investigating behavioral differences between IoT malware via function call sequence graphs. SAC 2021: 1674-1682 - [c4]Chansu Han, Jun'ichi Takeuchi, Takeshi Takahashi, Daisuke Inoue:
Automated Detection of Malware Activities Using Nonnegative Matrix Factorization. TrustCom 2021: 548-556 - 2019
- [c3]Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi, Koji Nakao:
A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering. ICONIP (1) 2019: 766-778 - [c2]Chansu Han, Jumpei Shimamura, Takeshi Takahashi, Daisuke Inoue, Masanori Kawakita, Jun'ichi Takeuchi, Koji Nakao:
Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso. TrustCom/BigDataSE 2019: 144-151 - 2016
- [c1]Chansu Han, Kento Kono, Shoma Tanaka, Masanori Kawakita, Jun'ichi Takeuchi:
Botnet Detection Using Graphical Lasso with Graph Density. ICONIP (1) 2016: 537-545
Coauthor Index
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