Privacy technology to support data sharing for comparative effectiveness research: a systematic review

X Jiang, AD Sarwate, L Ohno-Machado - Medical care, 2013 - journals.lww.com
Objective: Effective data sharing is critical for comparative effectiveness research (CER), but
there are significant concerns about inappropriate disclosure of patient data. These …

Privacy-aware and ai techniques for healthcare based on k-anonymity model in internet of things

AK Sangaiah, A Javadpour, F Ja'fari… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

[책][B] A Guide to Data Privacy

V Torra - 2022 - Springer
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 …

Does -Anonymous Microaggregation Affect Machine-Learned Macrotrends?

A Rodriguez-Hoyos, J Estrada-Jiménez… - IEEE …, 2018 - ieeexplore.ieee.org
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 fast maximum distance to average vector (F-MDAV): An algorithm for k-anonymous microaggregation in big data

A Rodríguez-Hoyos, J Estrada-Jiménez… - … Applications of Artificial …, 2020 - Elsevier
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 …

Efficient k-anonymous microaggregation of multivariate numerical data via principal component analysis

DR Monedero, AM Mezher, XC Colomé, J Forné… - Information …, 2019 - Elsevier
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 …

Reconciling privacy and efficient utility management in smart cities

D Rebollo‐Monedero, A Bartoli… - Transactions on …, 2014 - Wiley Online Library
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 …

p-Probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation

D Rebollo-Monedero, J Forné, M Soriano… - Information Sciences, 2017 - Elsevier
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 …

Utility-Embraced Microaggregation for Machine Learning Applications

S Lee, WY Shin - IEEE Access, 2022 - ieeexplore.ieee.org
With access to vast amounts of data, privacy protection is more important than ever. Among
various de-identification (anonymization) techniques,-anonymous microaggregation has …

k-Anonymous microaggregation with preservation of statistical dependence

D Rebollo-Monedero, J Forné, M Soriano… - Information Sciences, 2016 - Elsevier
Abstract k-Anonymous microaggregation emerges as an essential building block in
statistical disclosure control a field concerning the postprocessing of the demographic …