Hiroshi Koide 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（12 件）

• [2025] Multi-Objective Policy Optimization for Effective and Cost-Conscious Penetration Testing
  DOI: https://doi.org/10.5220/0013713400003985
• [2025] Detecting Advanced Persistent Threat Exfiltration With Ensemble Deep Learning Tree Models and Novel Detection Metrics
  DOI: https://doi.org/10.1109/access.2025.3567772
• [2024] MQTT-MTD: Integrating Moving Target Defense into MQTT Protocol as an Alternative to TLS
  DOI: https://doi.org/10.1109/commnet63022.2024.10793300
• [2024] A System Call Moving Target Defense for Binary Injections
  DOI: https://doi.org/10.1109/candar64496.2024.00030
• [2023] Improved Vulnerability Handling Framework to Automatically Fix Vulnerable Web Applications
  DOI: https://doi.org/10.1109/candarw60564.2023.00042
• [2023] New Perspectives on Data Exfiltration Detection for Advanced Persistent Threats Based on Ensemble Deep Learning Tree
  DOI: https://doi.org/10.5220/0012181200003584
• [2022] Detection and Isolation Malware by Dynamic Routing Moving Target Defense with Proxies
  DOI: https://doi.org/10.1109/csci58124.2022.00189
• [2022] Handling class Imbalance problem in Intrusion Detection System based on deep learning
  DOI: https://doi.org/10.15803/ijnc.12.2_467
• [2021] MTD: Run-time System Call Mapping Randomization
  DOI: https://doi.org/10.1109/iscsic54682.2021.00054
• [2021] Applying The Attacks Tracer on Advanced Persistent Threats to Real Networks
  DOI: https://doi.org/10.1109/candarw53999.2021.00072

科研費（0 件）

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所属学会・役職（0 件）

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