1994 - Developing and Assessment Study of Next-to-Next Statistical Anomaly Intrusiton Detection System
論文 (151件):
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
Hatma Suryotrisongko, Yasuo Musashi. Hybrid Quantum Deep Learning with Differential Privacy for Botnet DGA Detection. 2021 13th International Conference on Information & Communication Technology and System (ICTS). 2021. 68-72
Hatma Suryotorisongko, Yasuo Musashi. Evaluating Hybrid Quantum-Classical Deep Learning for Cybersecurity Botnet DGA Detection. Proceedings of the Thirteenth Information Systems International Conference (ISICO 2021). 2021. ID:20. 1-7
Irwan Alnarus Kautsar, Shinichiro Kubota, Yasuo Musashi, Kenichi Sugitani. Lecturer Based Supportive Tool Development and Approaches for Learning Material Sharing under Bandwidth Limitation. 情報処理学会論文誌. 2016. 57. 3
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