Chansu Han
Orcid: 0000-0002-1728-5300
According to our database1,
Chansu Han
authored at least 26 papers
between 2016 and 2023.
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Bibliography
2023
FINISH: Efficient and Scalable NMF-Based Federated Learning for Detecting Malware Activities.
IEEE Trans. Emerg. Top. Comput., 2023
IEEE Access, 2023
Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach.
IEEE Access, 2023
Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering.
IEEE Access, 2023
Towards Long-Term Continuous Tracing of Internet-Wide Scanning Campaigns Based on Darknet Analysis.
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023
Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Work in Progress: New Seed Set Selection Method of the Scalable Method for Constructing Phylogenetic Trees.
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023
Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads.
Proceedings of the 18th Asia Joint Conference on Information Security, 2023
2022
Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems.
IEEE Access, 2022
Dark-TRACER: Early Detection Framework for Malware Activity Based on Anomalous Spatiotemporal Patterns.
IEEE Access, 2022
Proceedings of the Intelligent Systems and Pattern Recognition, 2022
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Darknet Analysis-Based Early Detection Framework for Malware Activity: Issue and Potential Extension.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Leveraging Machine Learning Techniques to Identify Deceptive Decoy Documents Associated With Targeted Email Attacks.
IEEE Access, 2021
Proceedings of the 20th IEEE International Conference on Trust, 2021
Investigating behavioral differences between IoT malware via function call sequence graphs.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Designing Comprehensive Cyber Threat Analysis Platform: Can We Orchestrate Analysis Engines?
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021
Proceedings of the Sixth International Conference on Fog and Mobile Edge Computing, 2021
Scalable and Fast Hierarchical Clustering of IoT Malware Using Active Data Selection.
Proceedings of the Sixth International Conference on Fog and Mobile Edge Computing, 2021
Proceedings of the CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, 2021
Which Packet Did They Catch? Associating NIDS Alerts with Their Communication Sessions.
Proceedings of the 16th Asia Joint Conference on Information Security, 2021
2020
Real-Time Detection of Global Cyberthreat Based on Darknet by Estimating Anomalous Synchronization Using Graphical Lasso.
IEICE Trans. Inf. Syst., 2020
2019
Real-Time Detection of Malware Activities by Analyzing Darknet Traffic Using Graphical Lasso.
Proceedings of the 18th IEEE International Conference On Trust, 2019
A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016