In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
We present PRISM, a privacy-preserving scheme for word search in cloud computing. In the face of a curious cloud provider, the main challenge is to design a scheme that achieves pr...
Erik-Oliver Blass, Roberto Di Pietro, Refik Molva,...
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...
Abstract— Sensor networks are set to become a truly ubiquitous technology that will affect the lives of the people in their application environment. While providing the opportuni...