Research field (2)：
Communication and network engineering
, Software
Research keywords (6)：
Machine Learning Model
, Quantum Machine Learning Model
, Statistical Analaysis
, Intrusion Detection System
, Information Security
, Computer Security
Research theme for competitive and other funds (7)：
2014 - 2017 Developemnet of Distributed Multi-purpose civil Dam for Flood Control of the Basin
2012 - 2014 Development of Rainwater Grid for Citizen Co-working
2006 - 2008 Develoepement a next generation of system for Prediction and Warning of Debris Flow and Landslide and its Application using Precipitation Radar
2004 - 2005 Disaster Prevention System using Information Techonology
1997 - 1999 Dynamics of Electron Transfer and Energy Transfer by New Chiral Photosensitizers
1994 - 次々世代統計解析及び異常検出型侵入検知システムの開発と性能評価研究
1994 - Developing and Assessment Study of Next-to-Next Statistical Anomaly Intrusiton Detection System
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Papers (153)：
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
Irwan Alnarus Kautsar, Shinichiro Kubota, Yasuo Musashi, Kenichi Sugitani. Lecturer Based Supportive Tool Development and Approaches for Learning Material Sharing under Bandwidth Limitation. 2016. 57. 3
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)
