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...
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
For most mobile networks, providers need the current position of their users to provide efficient service. The resulting motion data is not only an invaluable source for analyzing...
Sebastian Kay Belle, Marcel Waldvogel, Oliver Haas...
Clustering and data aggregation in wireless sensor networks improves scalability, and helps the efficient use of scarce resources. Yet, these mechanisms also introduce some securi...