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SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
14 years 8 days ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...
SIGCOMM
2003
ACM
14 years 4 months ago
A high-level programming environment for packet trace anonymization and transformation
Packet traces of operational Internet traffic are invaluable to network research, but public sharing of such traces is severely limited by the need to first remove all sensitive...
Ruoming Pang, Vern Paxson
NDSS
2007
IEEE
14 years 5 months ago
Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces
Encouraging the release of network data is central to promoting sound network research practices, though the publication of this data can leak sensitive information about the publ...
Scott E. Coull, Charles V. Wright, Fabian Monrose,...
SDMW
2009
Springer
14 years 5 months ago
L-Cover: Preserving Diversity by Anonymity
To release micro-data tables containing sensitive data, generalization algorithms are usually required for satisfying given privacy properties, such as k-anonymity and l-diversity....
Lei Zhang 0004, Lingyu Wang, Sushil Jajodia, Alexa...
EDBT
2010
ACM
180views Database» more  EDBT 2010»
14 years 2 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...