武藏泰雄

ムサシヤスオ | Musashi Yasuo

所属機関・部署：
職名：教授
ホームページURL (1件)： http://www.cc.kumamoto-u.ac.jp/~musashi/

研究分野 (2件)：通信工学 , ソフトウェア

研究キーワード (6件)：機械学習モデル , 量子機械学習モデル , 統計解析 , 不正侵入検知システム , 情報セキュリティ , 計算機セキュリティ

競争的資金等の研究課題 (7件)：

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論文 (154件)：

Tutun Juhana, Hajiar Yuliana, . Hendrawan, . Iskandar, Yasuo Musashi. Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting. Emerging Science Journal. 2024. 8. 6. 2197-2217
Hajiar Yuliana, Hendrawan, Iskandar, Yasuo Musashi. Estimating Base Station Traffic and Throughput Using Machine Learning Based on Hourly Key Performance Indicator (KPI) Network Analysis. IEEE Access. 2024. 12. 116285-116301
Setia Juli Irzal Ismail, Hendrawan, Budi Rahardjo, Tutun Juhana, Yasuo Musashi. MalSSL-Self-Supervised Learning for Accurate and Label-Efficient Malware Classification. IEEE Access. 2024. 12. 58823-58835
Hatma Suryotrisongko, Yasuo Musashi. Hybrid Quantum Deep Learning and Variational Quantum Classifier-Based Model for Botnet DGA Attack Detection. International Journal of Intelligent Engineering and Systems. 2022. 15. 3. 215-224
Hatma Suryotrisongko, Yasuo Musashi, Akio Tsuneda, Kenichi Sugitani. Adversarial Robustness in Hybrid Quantum-Classical Deep Learning for Botnet DGA Detection. Journal of Information Processing. 2022. 30. 636-644

MISC (32件)：

特許 (3件)：

講演・口頭発表等 (34件)：

Feature engineering in robust botnet DGA (domain generation algorithm) detection and XAI (explainable Artificial Intelligence)
(The 17th International Conference on Telecommunication System, Services, and Applications (TSSA 2023) 2023)
Cybersecurity Study and Indonesian Students
(Guest Lecture and ISO207001:2013 Training 2023)
Ceybersecurity, AI, and Digital Infrastructure Interactive Design
(Seminar Internasional at University Muhamadia Sidoarjo (UMSIDA) 2023)
Explainable Artificial Intelligence (XAI) - AI/ML is Important for SDGs Applications: Should We Care About AI/ML Explainability?
(The Thirteenth Information Systems International Conference (ISICO 2021) 2021)
Classification of Malicious Domains by Their LIFETIME
(The Eigth International Conference on Emerging Internetworking, Data and Web Techonologies (EIDWT2020) 2020)

学歴 (3件)：

学位 (2件)：

経歴 (7件)：

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所属学会 (5件)：

日本化学会 , 日本情報処理学会 , Chemical Society of Japan , Infortion Processing Society of Japan , Institute of Electrical and Electronics Engineers

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武藏 泰雄