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CIKM
2009
Springer
14 years 2 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
SDM
2009
SIAM
125views Data Mining» more  SDM 2009»
14 years 4 months ago
Identifying Unsafe Routes for Network-Based Trajectory Privacy.
In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
Aris Gkoulalas-Divanis, Mohamed F. Mokbel, Vassili...
ESORICS
2009
Springer
14 years 8 months ago
Keep a Few: Outsourcing Data While Maintaining Confidentiality
We put forward a novel paradigm for preserving privacy in data outsourcing which departs from encryption. The basic idea behind our proposal is to involve the owner in storing a li...
Valentina Ciriani, Sabrina De Capitani di Vimercat...
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
14 years 8 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
DMKD
2004
ACM
115views Data Mining» more  DMKD 2004»
14 years 1 months ago
Privacy-preserving data integration and sharing
Integrating data from multiple sources has been a longstanding challenge in the database community. Techniques such as privacy-preserving data mining promises privacy, but assume ...
Chris Clifton, Murat Kantarcioglu, AnHai Doan, Gun...