Risk map for communication networks
US-2024422072-A1 · Dec 19, 2024 · US
US2024232782A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024232782-A1 |
| Application number | US-202118572248-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 25, 2021 |
| Priority date | Jun 25, 2021 |
| Publication date | Jul 11, 2024 |
| Grant date | — |
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This secure computing system comprises: a parameter acceptance means for accepting, with regard to a plurality of models used for analysis of the optimization of a city based on the personal data of individuals belonging to the city and having been generated by each of a plurality of business operators, input of a plurality of concealed parameters of the plurality of models; a secure computing means for integrating by secure computation, with regard to the plurality of concealed parameters; and an output means for outputting the parameters in a concealed form that have been integrated by the secure computing means.
Opening claim text (preview).
What is claimed is: 1 . A secure computing system comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: accept input of concealed parameters of a plurality of models generated by each of a plurality of business operators, wherein the plurality of models are used for analysis of an optimization method of a city based on personal data of an individual belonging to the city; integrate the plurality of concealed parameters by secret computation; and output the parameters integrated in a concealed form. 2 . The secure computing system according to claim 1 , wherein the at least one processor is further configured to execute the instructions to: input information regarding the personal data of the individual belonging to each city to the model; and classify the individual based on the personal data. 3 . The secure computing system according to claim 1 , wherein the at least one processor is further configured to execute the instructions to: input classification information classified based on the personal data of the individual belonging to the city is input to the model; and output a proposed action proposed to the individual of the classification. 4 . The secure computing system according to claim 1 , wherein the secure computation is a secure variation computation. 5 . The secure computing system according to claim 1 , wherein the plurality of business operators are contractor candidates to which implementation of the optimization method is entrusted by a local government of the city. 6 . The secure computing system according to claim 5 , wherein the at least one processor is further configured to execute the instructions to: select the contractor candidate based on past performance information of a business related to the entrusted business. 7 . The secure computing system according to claim 6 , wherein the at least one processor is further configured to execute the instructions to: accept an input of information regarding an entrusted business; extract a contractor candidate from past performance information of a business related to an entrusted business; and specify a contractor from among contractor candidates extracted. 8 . The secure computing system according to claim 7 , wherein the at least one processor is further configured to execute the instructions to: acquire past performance information based on administrative document management information. 9 . The secure computing system according to claim 7 , wherein the at least one processor is further configured to execute the instructions to: specify the contractor by using a model generated based on past performances and evaluation information for the performances. 10 . A business operator server comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: store a model for analyzing an optimization method of a city based on personal data of an individual belonging to the city; conceal parameters of a model stored; transmit parameters of the model to a secure computing system in a concealed form; restore the concealed parameter; perform analysis regarding optimization of the city by using an updated model updated by federated learning using secure computation based on information held by each city; and output a proposed action for solving a task in the city based on personal data of an individual belonging to the city. 11 . An information processing system include: a plurality of business operator servers; and a secure computing system, wherein the plurality of business operator servers each comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: store a model generated based on personal data of an individual belonging to each city and performs analysis of an optimization method of the city; conceal a parameter of a model stored; transmit a parameter of a model to a secure computing system in a concealed form; and restore the concealed parameter, and the secure computing system comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: accept, for a plurality of models generated by each of a plurality of business operators, input of a plurality of concealed parameters of the plurality of models, wherein the plurality of models are used for analysis of an optimization method of a city based on personal data of an individual belonging to the city; integrate the plurality of concealed parameters by secure computation; and output the parameters integrated in a concealed form. 12 . A secure computing method comprising: analyzing an optimization method of a city based on personal data of an individual belonging to the city, and accepting input of a plurality of concealed parameters for a plurality of models generated by each of a plurality of business operators; integrating the plurality of concealed parameters by secure computation; and outputting the integrated parameters in a concealed form. 13 . A non-transitory recording medium having stored therein a program for causing a computer to execute: analyzing an optimization method of a city based on personal data of an individual belonging to the city, and accepting input of a plurality of concealed parameters for a plurality of models generated by each of a plurality of business operators; integrating the plurality of concealed parameters by secure computation; and outputting the integrated parameters in a concealed form.
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