Protecting Location Privacy with <i>K</i>-Confusing Paths Based on Dynamic Pseudonyms
スポンサーリンク
概要
- 論文の詳細を見る
As smart phones with a GPS receiver have been becoming popular recently, many people have realized the issue of protecting their location privacy. Previous research on location privacy mainly focuses on anonymization techniques for removing identifiable information from users' location traces. Although anonymized location data is useful to many applications, such as traffic monitoring, we can provide a new class of location-based services by utilizing path information of mobile users. In this paper, we present a dynamic pseudonym scheme for constructing alternate possible paths of mobile users to protect their location privacy. We introduce a formal definition of location privacy for pseudonym-based location data sets and show an efficient verification algorithm for determining whether each user in a given location data set has sufficient number of possible paths to disguise the user's true movements.
- 2012-11-08
著者
-
Kazuhiro Minami
National Institute Of Informatics
-
Hiroshi Maruyama
Institute Of Statistical Mathematics
-
Ken Mano
Ntt Communication Science Laboratories Ntt Corporation
-
Kazuhiro Minami
Institute of Statistical Mathematics
関連論文
- Preventing Denial-of-request Inference Attacks in Location-sharing Services
- Protecting Location Privacy with K-Confusing Paths Based on Dynamic Pseudonyms
- Protecting Location Privacy with K-Confusing Paths Based on Dynamic Pseudonyms
- Privacy-preserving Publishing of a Pseudonym-based Trajectory Location Data Set (Extended Abstract)
- Privacy-preserving Publishing of a Pseudonym-based Trajectory Location Data Set (Extended Abstract)