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» A Data Privacy Taxonomy
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SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
13 years 11 months 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...
KES
2008
Springer
13 years 8 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base
Privacy is one of the most important properties of an information system must satisfy. In which systems the need to share information among different, not trusted entities, the pro...
Mahmoud Hussein, Ashraf El-Sisi, Nabil A. Ismail
TDP
2008
160views more  TDP 2008»
13 years 9 months ago
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing
Publishing data for analysis from a micro data table containing sensitive attributes, while maintaining individual privacy, is a problem of increasing significance today. The k-ano...
Xiaoxun Sun, Hua Wang, Jiuyong Li, Traian Marius T...
KDD
2008
ACM
162views Data Mining» more  KDD 2008»
14 years 10 months ago
Composition attacks and auxiliary information in data privacy
Privacy is an increasingly important aspect of data publishing. Reasoning about privacy, however, is fraught with pitfalls. One of the most significant is the auxiliary informatio...
Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanat...
IEEECIT
2006
IEEE
14 years 3 months ago
Towards Balancing Data Usefulness and Privacy Protection in K-Anonymisation
K-anonymisation, as an approach to protecting data privacy, has received much recent attention from the database research community. Given a single table, there can be many ways t...
Grigorios Loukides, Jianhua Shao