Hiroshi Koide

Scopus著者プロファイル

ウェブサイトhttps://hyoka.ofc.kyushu-u.ac.jp/html/100024377_ja.html

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年別の研究成果

フィンガープリント

Hiroshi Koideが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。

1 類似のプロファイル

32 会議への寄与
8 学術誌
1 章
1 学会誌
その他
- 1 会議記事
- 1 編集

Detecting Advanced Persistent Threat Exfiltration with Ensemble Deep Learning Tree Models and Novel Detection Metrics
Cai, X., Zhang, H., Ahmed, C. M. & Koide, H., 2025, In: IEEE Access. 13, p. 81803-81822 20 p.
研究成果: ジャーナルへの寄稿 › 学術誌 › 査読

Open Access
A System Call Moving Target Defense for Binary Injections
Minato, Y., Masumoto, T. & Koide, H., 2024, Proceedings - 2024 12th International Symposium on Computing and Networking, CANDAR 2024. Institute of Electrical and Electronics Engineers Inc., p. 183-189 7 p. (Proceedings - 2024 12th International Symposium on Computing and Networking, CANDAR 2024).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
1 被引用数 (Scopus)
MQTT-MTD: Integrating Moving Target Defense into MQTT Protocol as an Alternative to TLS
Kusumi, K. & Koide, H., 2024, Proceedings - 7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024. El Bouanani, F. & Ayoub, F. (eds.). Institute of Electrical and Electronics Engineers Inc., (Proceedings - 7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
Improved Vulnerability Handling Framework to Automatically Fix Vulnerable Web Applications
Funaoka, Y. & Koide, H., 2023, Proceedings - 2023 11th International Symposium on Computing and Networking Workshops, CANDARW 2023. Institute of Electrical and Electronics Engineers Inc., p. 208-212 5 p. (Proceedings - 2023 11th International Symposium on Computing and Networking Workshops, CANDARW 2023).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
New Perspectives on Data Exfiltration Detection for Advanced Persistent Threats Based on Ensemble Deep Learning Tree
Cai, X. & Koide, H., 2023, Proceedings of the 19th International Conference on Web Information Systems and Technologies, WEBIST 2023. Penalvo, F. G. & Marchiori, M. (eds.). Science and Technology Publications, Lda, p. 276-285 10 p. (International Conference on Web Information Systems and Technologies, WEBIST - Proceedings).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

Open Access

小出洋

フィンガープリント

過去5年の共同研究と上位研究分野

詳細を開く

Detecting Advanced Persistent Threat Exfiltration with Ensemble Deep Learning Tree Models and Novel Detection Metrics

A System Call Moving Target Defense for Binary Injections

MQTT-MTD: Integrating Moving Target Defense into MQTT Protocol as an Alternative to TLS

Improved Vulnerability Handling Framework to Automatically Fix Vulnerable Web Applications

New Perspectives on Data Exfiltration Detection for Advanced Persistent Threats Based on Ensemble Deep Learning Tree

小出 洋

フィンガープリント

過去5年の共同研究と上位研究分野

研究成果

Detecting Advanced Persistent Threat Exfiltration with Ensemble Deep Learning Tree Models and Novel Detection Metrics

A System Call Moving Target Defense for Binary Injections

MQTT-MTD: Integrating Moving Target Defense into MQTT Protocol as an Alternative to TLS

Improved Vulnerability Handling Framework to Automatically Fix Vulnerable Web Applications

New Perspectives on Data Exfiltration Detection for Advanced Persistent Threats Based on Ensemble Deep Learning Tree

小出洋