| Project/Area Number |
26540041
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Multimedia database
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
SATO Issei 東京大学, 新領域創成科学研究科, 講師 (90610155)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | プライバシー / k-匿名化 / 濡れ衣 / 個人情報 / パーソナルデータ / 位置情報 / 属性情報 / 情報基礎 / アルゴリズム / プライバシー保護 / 匿名化 / 主観確率 / 数理モデル |
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| Outline of Final Research Achievements |
In the field of privacy preserving data mining, k-anonymity is a representative model for protecting privacy. However, when people see k-anonymized data, a person who provides his/her data is misleadingly suspected as a bad guy due to the information which actually has nothing to do with him/her. We define such problem as a false light caused by k-anonymization, and define a record which has an attribute causing a false light as a sensitive record. We propose k-anonimisation algorithms which pay attention to sensitive records in order to prevent a false light. We deal with two cases: location information preservation and more general information including categorical information. In the experiments, we confirmed that proposed method can decrease a probability of occurrence of a false light.
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