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» Anonymity for continuous data publishing
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TMC
2008
159views more  TMC 2008»
13 years 5 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
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 7 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
COLCOM
2007
IEEE
14 years 1 months ago
Privacy protection on sliding window of data streams
—In many applications, transaction data arrive in the form of high speed data streams. These data contain a lot of information about customers that needs to be carefully managed ...
Weiping Wang 0001, Jianzhong Li, Chunyu Ai, Yingsh...
SIGMOD
2010
ACM
274views Database» more  SIGMOD 2010»
14 years 4 days ago
K-isomorphism: privacy preserving network publication against structural attacks
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
James Cheng, Ada Wai-Chee Fu, Jia Liu
ICDE
2009
IEEE
392views Database» more  ICDE 2009»
15 years 7 months ago
FF-Anonymity: When Quasi-Identifiers Are Missing
Existing approaches on privacy-preserving data publishing rely on the assumption that data can be divided into quasi-identifier attributes (QI) and sensitive attribute (SA). This ...
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Y...