Privacy technology to support data sharing for comparative effectiveness research: a systematic review
Objective: Effective data sharing is critical for comparative effectiveness research (CER), but
there are significant concerns about inappropriate disclosure of patient data. These …
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
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 …
the healthcare sector significant respect. Health service providers retain data gathered from …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
various de-identification (anonymization) techniques,-anonymous microaggregation has …
k-Anonymous microaggregation with preservation of statistical dependence
Abstract k-Anonymous microaggregation emerges as an essential building block in
statistical disclosure control a field concerning the postprocessing of the demographic …
statistical disclosure control a field concerning the postprocessing of the demographic …