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WPES
2004
ACM
14 years 22 days ago
Assessing global disclosure risk in masked microdata
In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify the attributes from a given microdata...
Traian Marius Truta, Farshad Fotouhi, Daniel C. Ba...
CORR
2010
Springer
79views Education» more  CORR 2010»
13 years 7 months ago
Providing Data Group Anonymity Using Concentration Differences
Public access to digital data can turn out to be a cause of undesirable information disclosure. That's why it is vital to somehow protect the data before publishing. There are...
Oleg Chertov, Dan Tavrov
VLDB
2005
ACM
136views Database» more  VLDB 2005»
14 years 24 days ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
EDBT
2008
ACM
111views Database» more  EDBT 2008»
14 years 7 months ago
Micro-aggregation-based heuristics for p-sensitive k-anonymity: one step beyond
Micro-data protection is a hot topic in the field of Statistical Disclosure Control (SDC), that has gained special interest after the disclosure of 658000 queries by the AOL searc...
Agusti Solanas, Francesc Sebé, Josep Doming...
EDBT
2009
ACM
136views Database» more  EDBT 2009»
14 years 2 months ago
On the comparison of microdata disclosure control algorithms
Privacy models such as k-anonymity and -diversity typically offer an aggregate or scalar notion of the privacy property that holds collectively on the entire anonymized data set....
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...