| Co-Investigator(Kenkyū-buntansha) |
中川 裕志 国立研究開発法人理化学研究所, 革新知能統合研究センター, チームリーダー (20134893)
渡辺 知恵美 筑波技術大学, 産業技術学部, 准教授 (20362832)
木村 映善 愛媛大学, 医学系研究科, 教授 (20363244)
村上 隆夫 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (80587981)
佐久間 淳 筑波大学, システム情報系, 教授 (90376963)
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| Budget Amount *help |
¥42,510,000 (Direct Cost: ¥32,700,000、Indirect Cost: ¥9,810,000)
Fiscal Year 2022: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2021: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2020: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2019: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
Fiscal Year 2018: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
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| Outline of Final Research Achievements |
Our study focused on the important issue of data anonymization and the challenges it poses for protecting individual privacy. We conducted five open competitions to evaluate different approaches to anonymizing personal data and identified both issues and best practices.
Our research resulted in several significant publications, including top conference papers at PET 2023 for anonymizing location traces and an IEEE big data paper studying medical data anonymization. We published a journal paper studying a mathematical model for the cost of data anonymization and a journal paper that revealed user behavior in providing personal data, which was awarded at the IPSJ Computer Security Symposium. These publications contribute to the development of anonymization theory and methods and provide practical solutions to the challenge of protecting personal data. Ultimately, our research has important implications for both academia and society, helping to advance the field of data privacy.
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