Microdata disclosure risk assessment using the family of conditional compound Poisson distributions
Project/Area Number |
21730173
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Economic statistics
|
Research Institution | Kanazawa University |
Principal Investigator |
HOSHINO Nobuaki Kanazawa University, 経済学経営学系, 准教授 (00313627)
|
Project Period (FY) |
2009 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
|
Keywords | 個票開示リスク / 母集団一意 / プライバシー / 寸法指標 / 官庁統計 / 離散分布 |
Research Abstract |
This project has progressed both on an empirical basis and on a theory. One empirical contribution is an anonymized data set of the Japanese Labor Force Survey, which will be used to test the risk and utility of anonymization methods. Another contribution is a survey on the advanced practices and researches of anonymization. This survey has been especially conducted to provide a sound view on the current Japanese anonymization practices and researches. On a theory, the limiting conditional compound Poisson distribution has been investigated to explain the behavior of a sparse contingency table, which often arises in assessing disclosure risk. In particular, a new asymptotics based on a Bell polynomial has been proposed.
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Report
(3 results)
Research Products
(13 results)