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» Privacy in Data Mining Using Formal Methods
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PSD
2004
Springer
94views Database» more  PSD 2004»
14 years 2 months ago
On the Security of Noise Addition for Privacy in Statistical Databases
Noise addition is a family of methods used in the protection of the privacy of individual data (microdata) in statistical databases. This paper is a critical analysis of the securi...
Josep Domingo-Ferrer, Francesc Sebé, Jordi ...
JUCS
2007
112views more  JUCS 2007»
13 years 9 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski
OOPSLA
2007
Springer
14 years 3 months ago
Lost in translation: formalizing proposed extensions to c#
Current real-world software applications typically involve heavy use of relational and XML data and their query languages. Unfortunately object-oriented languages and database que...
Gavin M. Bierman, Erik Meijer, Mads Torgersen
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
13 years 9 months ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung
CCS
2008
ACM
13 years 11 months ago
A formal framework for reflective database access control policies
Reflective Database Access Control (RDBAC) is a model in which a database privilege is expressed as a database query itself, rather than as a static privilege contained in an acce...
Lars E. Olson, Carl A. Gunter, P. Madhusudan