担当区分：責任著者   記述言語：日本語   掲載種別：論文集(書籍)内論文   出版者・発行元：Perspectives in Law, Business and Innovation  

Sharing extensive healthcare information is essential for the advancement of medicine and the formulation of effective public health policies. However, it often contains sensitive or personal information, or trade secrets. Certain safety measures are needed to strike a balance between the sharing of data and the protection of such information. A firewallFirewall is one of the major safety measures designed to prevent the delivery of protected information by severing harmful connections or limiting the formation of new connections between relevant parties in an information exchange network. Although very simple models suggest firewallFirewall 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, we propose several improved models and use them to explore some of the reasons why firewalls fail. Our study finds that firewallsFirewall 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.

DOI： https://doi.org/10.1007/978-981-99-6540-3_10

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記述言語：日本語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Journal of Mathematical Physics  

Dyson’s model in infinite dimensions is a system of Brownian particles that interact via a logarithmic potential with an inverse temperature of β = 2. The stochastic process can be represented by the solution to an infinite-dimensional stochastic differential equation. The associated unlabeled dynamics (diffusion process) are given by the Dirichlet form with the sine2 point process as a reference measure. In a previous study, we proved that Dyson’s model in infinite dimensions is irreducible, but left the ergodicity of the unlabeled dynamics as an open problem. In this paper, we prove that the unlabeled dynamics of Dyson’s model in infinite dimensions are ergodic.

DOI： 10.1063/5.0086873

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掲載種別：研究論文（学術雑誌）  

DOI： 10.1017/etds.2020.123

担当区分：責任著者  

担当区分：責任著者  

DOI： https://doi.org/10.1007/s10955-017-1928-2

DOI： https://doi.org/10.1007/s10955-017-1928-2