差分プライバシーを用いた移動経路データの要約情報開示
differentially private summary data release over tajectory streams

概要

Since user trajectories are generated unpredictably and infinitely, it is difficult to protect every trajectories under ε-differential privacy. To this end, we propose a flexible privacy model and desgin algorithms to ensure every length of l trajectories under protection of ε-differential privacy.

産業界への展開例・適用分野

Open data of real-time statistics over trajectory streams is expected to be extremely valuable, such as real-time traffic analysis, intelligent navigation systems, marketing analysis,disaster rescues.

研究者

氏名	専攻	研究室	役職/学年
曹 洋	社会情報学専攻	吉川・馬研究室	博士1回生
吉川 正俊	社会情報学専攻	吉川・馬研究室	教授

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