確率的ダミー生成による統計的な位置情報収集のためのプライバシ保護手法の提案

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/06/01

タイトル(英語): An Algorithm for Privacy-Preserving Location Data Collection by Probabilistic Dummy Generation

著者名: 清　雄一（電気通信大学大学院情報システム学研究科），大須賀　昭彦（電気通信大学大学院情報システム学研究科）

著者名(英語): Yuichi Sei (Graduate School of Information Systems, The University of Electro-Communications), Akihiko Ohsuga (Graduate School of Information Systems, The University of Electro-Communications)

キーワード: 位置情報，プライバシ，データマイニング　　Location information，Privacy，Data mining

要約(英語): Mobile devices, which can sense their locations by GPS or Wi-Fi, have become popular these days, and we can collect and analyze location information of many users to examine traffic flow, conduct marketing analysis, and so on. However, several users hesitate to provide their accurate location information. Therefore, researches which anonymize user's location information on their devices and send the anonymized information to the data collection server have been proposed. These researches can protect user's privacy and let the data collection server to estimate the distribution of users' locations by a statistical way. However, they need many users to help with the data collection. In our proposed method each user sends several dummy locations to the data collection server and the server can estimate the location distribution with high accuracy. By mathematical analysis and simulations, we prove our proposed method can reduce the estimated errors by approximately from 85% to 99%.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.6 （2015） 特集：データからの知識発見とその応用

本誌掲載ページ: 660-670 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/6/135_660/_article/-char/ja/