selected papers主要論文
- M. F. Rozi, T. Ban, S. Ozawa, A. Yamada, T. Takahashi, S. Kim, and D. Inoue, “Detecting Malicious JavaScript Using Structure-Based Analysis of Graph Representation,” IEEE Access, 2023年9月.
- T. Ban, T. Takahashi, S. Ndichu, and D. Inoue, “Breaking Alert Fatigue: AI-Assisted SIEM Framework for Effective Incident Response,” Applied Sciences, 13(11):6610, 2023年5月.
- M. F. Rozi, S. Ozawa, T. Ban, S. Kim, T. Takahashi, and D. Inoue, “Understanding the Influence of AST-JS for Improving Malicious Webpage Detection,” Applied Sciences, 2022年12月.
- S. Ndichu, T. Ban, T. Takahashi, and D. Inoue, “AI-Assisted Security Alert Data Analysis with Imbalanced Learning Methods,” Applied Sciences, 2023年2月.
- C.-Y. Wu, T. Ban, S.-M. Cheng, T. Takahashi, and D. Inoue, “IoT Malware Classification Based on Reinterpreted Function-Call Graphs,” Computers & Security, Elsevier, 2021年.
- B. Sun, T. Ban, C. Han, T. Takahashi, K. Yoshioka, J. Takeuchi, A. Sarrafzadeh, M. Qiu, and D. Inoue, “Leveraging Machine Learning Technique to Identify Deceptive Decoy Documents Associated with Targeted Email Attacks,” IEEE Access, 2021年.
- T.-L. Wan, T. Ban, S.-M. Cheng, Y.-T. Lee, B. Sun, R. Isawa, T. Takahashi, and D. Inoue, “An Efficient Approach to Detect and Classify IoT Malware Based on Byte Sequences from Executable Files,” IEEE Open Journal of the Computer Society, Vol. 1, pp. 262–275, 2020年10月.
