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 |