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» Probabilistic Inference Protection on Anonymized Data
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GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 3 months ago
A multi-objective approach to data sharing with privacy constraints and preference based objectives
Public data sharing is utilized in a number of businesses to facilitate the exchange of information. Privacy constraints are usually enforced to prevent unwanted inference of info...
Rinku Dewri, Darrell Whitley, Indrajit Ray, Indrak...
CCS
2009
ACM
14 years 3 days ago
As-awareness in Tor path selection
Tor is an anonymous communications network with thousands of router nodes worldwide. An intuition reflected in much of the literature on anonymous communications is that, as an a...
Matthew Edman, Paul F. Syverson
CCS
2008
ACM
13 years 7 months ago
A class of probabilistic models for role engineering
Role Engineering is a security-critical task for systems using role-based access control (RBAC). Different role-mining approaches have been proposed that attempt to automatically ...
Mario Frank, David A. Basin, Joachim M. Buhmann
CIKM
2009
Springer
13 years 12 months ago
POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice
Data generalization is widely used to protect identities and prevent inference of sensitive information during the public release of microdata. The k-anonymity model has been exte...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...