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» Providing k-anonymity in data mining
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ICDE
2008
IEEE
178views Database» more  ICDE 2008»
14 years 6 months ago
On the Optimal Selection of k in the k-Anonymity Problem
When disseminating data involving human subjects, researchers have to weigh in the requirements of privacy of the individuals involved in the data. A model widely used for enhancin...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
DAWAK
2006
Springer
13 years 9 months ago
Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures
Abstract. Biobanks are gaining in importance by storing large collections of patient's clinical data (e.g. disease history, laboratory parameters, diagnosis, life style) toget...
Konrad Stark, Johann Eder, Kurt Zatloukal
IEEEARES
2008
IEEE
13 years 11 months ago
A Post-processing Method to Lessen k-Anonymity Dissimilarities
Protecting personal data is essential to guarantee the rule of law1 . Due to the new Information and Communication Technologies (ICTs) unprecedented amounts of personal data can b...
Agusti Solanas, Gloria Pujol, Antoni Martín...
ESORICS
2008
Springer
13 years 7 months ago
A Multi-Path Approach for k-Anonymity in Mobile Hybrid Networks
The ubiquitous proliferation of mobile devices has given rise to novel user-centric application and services. In current mobile systems, users gain access to remote service provide...
Claudio Agostino Ardagna, Angelos Stavrou, Sushil ...
TMC
2008
159views more  TMC 2008»
13 years 3 months ago
Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
Continued advances in mobile networks and positioning technologies have created a strong market push for location-based applications. Examples include location-aware emergency resp...
Bugra Gedik, Ling Liu