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» Privacy: preserving trajectory collection
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PAISI
2010
Springer
14 years 9 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
PET
2010
Springer
15 years 3 months ago
Collaborative, Privacy-Preserving Data Aggregation at Scale
Combining and analyzing data collected at multiple locations is critical for a wide variety of applications, such as detecting and diagnosing malicious attacks or computing an acc...
Benny Applebaum, Haakon Ringberg, Michael J. Freed...
IEEESP
2010
101views more  IEEESP 2010»
14 years 10 months ago
Preserving Privacy Based on Semantic Policy Tools
Abstract—Private data of individuals is constantly being collected, analyzed, and stored by different kinds of organizations: shopping sites to provide better service and recomme...
Lalana Kagal, Joe Pato
DKE
2010
167views more  DKE 2010»
14 years 9 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
CHI
2006
ACM
16 years 3 days ago
Putting people in their place: an anonymous and privacy-sensitive approach to collecting sensed data in location-based applicati
The emergence of location-based computing promises new and compelling applications, but raises very real privacy risks. Existing approaches to privacy generally treat people as th...
Karen P. Tang, Pedram Keyani, James Fogarty, Jason...