| 研究課題/領域番号 |
23K01215
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分05070:新領域法学関連
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| 研究機関 | 九州大学 |
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研究代表者 |
寺本 振透 九州大学, 法学研究院, 教授 (60436508)
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| 研究期間 (年度) |
2023-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
1,040千円 (直接経費: 800千円、間接経費: 240千円)
2025年度: 390千円 (直接経費: 300千円、間接経費: 90千円)
2024年度: 260千円 (直接経費: 200千円、間接経費: 60千円)
2023年度: 390千円 (直接経費: 300千円、間接経費: 90千円)
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| キーワード | Information Barrier / Mathematical Modeling / Structural Weakness / 情報隔壁 / 構造的弱点 |
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| 研究開始時の研究の概要 |
・モデルを用いた検討は，頂点(vertex)数及び辺(edge)数が小さいグラフ(手計算が可能)で基本的な議論を行い，これを基礎とし，計算機上で，頂点数及び辺数が大きいグラフの実験を行う。
・中間及び最終成果物は，SNW 分析, グラフ理論, 法律実務等の学際的なカンファランス及びジャーナルでの発表により，パブリックによるアセスメントを得る。
以上の手順により、情報の外部への漏洩が発生する確率を小さくすることができると予想されるような、組織内部のネットワーク構造を設計し、さらに、その設計を実装したルールの記述を試みる。
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| 研究実績の概要 |
Very simple models suggest firewall vulnerabilities, such models often oversimplify real-world scenarios, neglecting factors like internal connections among nodes and the influence of other information held by nodes. Therefore, collaborating with mathematicians, particularly those skilled in graph theory, I proposed several improved models and use them to explore some of the reasons why firewalls fail. The study so far found that firewalls are less effective as the number of network nodes increases, and that both high- and low-degree nodes pose non-negligible risks. The study also raises awareness about the role of internal monitors in preventing leaks. The effectiveness of information leakage control could be increased with the monitor's proximity to the information source. This necessitates a greater focus on internal monitoring, perhaps using information and communication technology. These findings were published in the work of Teramoto, S.; Kaji, S.; and Osada, S. in "The Internal Network Structure that Affects Firewall Vulnerability," featured in The Law and Ethics of Data Sharing in Health Sciences (Springer 2024).
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
With the collaboration of mathematicians, particularly those skilled in graph theory, I was able to more clearly demonstrate than initially expected the relationship between the likelihood of information leakage outside the firewall and the internal network structure within the firewall. Specifically, I found that the distances between nodes that inhibit the spread of information and those that may facilitate it are significant. These results were published in the work of Teramoto, S.; Kaji, S.; and Osada, S. in "The Internal Network Structure that Affects Firewall Vulnerability," featured in The Law and Ethics of Data Sharing in Health Sciences (Springer 2024).
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| 今後の研究の推進方策 |
I will specifically envision use cases for cross-border medical and healthcare data sharing, examine and describe the applicable legal regulations and risks, and then consider methods to enable safe and smooth sharing of such information. Initially, the plan was simply to create rules, but now it aims to design procedures on a more practical, dynamic consent platform.
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