Privacy Preservation in the Publication of Trajectories 论文
2008引用 294
Privacy-Preserving Technologies in DataCryptography and Data SecurityMobile Crowdsensing and Crowdsourcing
详细信息
- 发表日期
- 2008-04-01
- 发表年份
- 2008
关键词
Privacy-Preserving Technologies in DataCryptography and Data SecurityMobile Crowdsensing and Crowdsourcing
摘要
We study the problem of protecting privacy in the publication of location sequences. Consider a database of trajectories, corresponding to movements of people, captured by their transactions when they use credit or RFID debit cards. We show that, if such trajectories are published exactly (by only hiding the identities of persons that followed them), there is a high risk of privacy breach by adversaries who hold partial information about them (e.g., shop owners). In particular, we show that one can use partial trajectory knowledge as a quasi-identifier for the remaining locations in the sequence. We device a data suppression technique, which prevents this type of breach, while keeping the posted data as accurate as possible.