| Project/Area Number |
23K01215
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 05070:New fields of law-related
|
|---|
| Research Institution | Kyushu University |
|---|
Principal Investigator |
寺本 振透 九州大学, 法学研究院, 教授 (60436508)
|
|---|
| Project Period (FY) |
2023-04-01 – 2026-03-31
|
| Project Status |
Granted (Fiscal Year 2023)
|
| Budget Amount *help |
¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2025: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2024: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2023: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
|
|---|
| Keywords | Information Barrier / Mathematical Modeling / Structural Weakness / 情報隔壁 / 構造的弱点 |
|---|
| Outline of Research at the Start |
・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。
|
| Outline of Annual Research Achievements |
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).
|
| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
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).
|
| Strategy for Future Research Activity |
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.
|
