Objective: Effective data sharing is critical for comparative effectiveness research (CER), but
there are significant concerns about inappropriate disclosure of patient data. These …

The government and industry have given the recent development of the Internet of Things in
the healthcare sector significant respect. Health service providers retain data gathered from …

Data privacy is now a hot topic. Big data have increased its importance. Nevertheless,
computational methods for data privacy have been studied and developed since the 70s, at …

In the era of big data, the availability of massive amounts of information makes privacy
protection more necessary than ever. Among a variety of anonymization mechanisms …

The massive exploitation of tons of data is currently guiding critical decisions in domains
such as economics or health. But serious privacy risks arise since personal data is …

In response to a growing need for small-scale geographic information in various research
areas, data-collecting institutions are increasingly georeferencing individual-level data …

Abstract k-Anonymous microaggregation is a widespread technique to address the problem
of protecting the privacy of the respondents involved beyond the mere suppression of their …

We develop a probabilistic variant of k-anonymous microaggregation which we term p-
probabilistic resorting to a statistical model of respondent participation in order to aggregate …

ABSTRACT A key aspect in the design of smart cities is, undoubtedly, a plan for the efficient
management of utilities, enabled by technologies such as those entailing smart metering of …

With access to vast amounts of data, privacy protection is more important than ever. Among
various de-identification (anonymization) techniques,-anonymous microaggregation has …