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SSDBM
2007
IEEE
105views Database» more  SSDBM 2007»
13 years 11 months ago
Maintaining K-Anonymity against Incremental Updates
K-anonymity is a simple yet practical mechanism to protect privacy against attacks of re-identifying individuals by joining multiple public data sources. All existing methods achi...
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang 0009, Ke ...
EDBT
2010
ACM
180views Database» more  EDBT 2010»
13 years 9 months ago
k-symmetry model for identity anonymization in social networks
With more and more social network data being released, protecting the sensitive information within social networks from leakage has become an important concern of publishers. Adve...
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zh...
WWW
2009
ACM
14 years 6 months ago
Inferring private information using social network data
On-line social networks, such as Facebook, are increasingly utilized by many users. These networks allow people to publish details about themselves and connect to their friends. S...
Jack Lindamood, Raymond Heatherly, Murat Kantarcio...
INFORMATICASI
2010
13 years 2 months ago
Strategic Modeling of Information Sharing among Data Privacy Attackers
Research in privacy-preserving data publishing has revealed the necessity of accounting for an adversary's background knowledge when reasoning about the protection afforded b...
Quang Duong, Kristen LeFevre, Michael P. Wellman
AINA
2010
IEEE
13 years 10 months ago
GEPETO: A GEoPrivacy-Enhancing TOolkit
Abstract—A geolocalised system generally belongs to an individual and as such knowing its location reveals the location of its owner, which is a direct threat against his privacy...
Sébastien Gambs, Marc-Olivier Killijian, Mi...