書誌事項
- タイトル別名
-
- An Algorithm for Privacy-Preserving Location Data Collection by Probabilistic Dummy Generation
- カクリツテキ ダミー セイセイ ニ ヨル トウケイテキ ナ イチ ジョウホウ シュウシュウ ノ タメ ノ プライバシ ホゴ シュホウ ノ テイアン
この論文をさがす
抄録
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%.
収録刊行物
-
- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
-
電気学会論文誌Ｃ（電子・情報・システム部門誌） 135 (6), 660-670, 2015
一般社団法人 電気学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390001204609243904
-
- NII論文ID
- 130005072638
-
- NII書誌ID
- AN10065950
-
- ISSN
- 13488155
- 03854221
-
- NDL書誌ID
- 026555432
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- 抄録ライセンスフラグ
- 使用不可